Christine Guillemot

Contact Information

Email : christine (dot) guillemot (at) inria (dot) fr
Address : IRISA
Campus Universitaire de Beaulieu
35042 Rennes Cedex - FRANCE
Office: F337 VERT
Phone: +33 2.99.84.74.29
Fax: +33 2.99.84.71.71
Project Assistant: +33 2.99.84.72.28
(Huguette Bechu)
photo

Publications

You can see a list of journal publications and book chapters here and the list of all publications (including conferences) here.

Patents

You can see a list of patents here.

Profile

Christine Guillemot is currently 'Directeur de Recherche' at INRIA, in charge of the TEMICS research group dealing with image modelling, processing, video communication and watermarking. She holds a PhD degree from ENST (Ecole Nationale Superieure des Telecommunications) Paris. From 1985 to October 1997, she has been with FRANCE TELECOM/CNET, where she has been involved in various projects in the domain of coding for TV, HDTV and multimedia applications, and co-ordinated a few (e.g. the European RACE-HAMLET project). From january 1990 to mid 1991, she has worked at Bellcore, NJ, USA, as a visiting scientist. Her research interests are signal and image processing, and in particular 2D and 3D image and video coding, joint source and channel coding for video transmission over the Internet and over wireless networks, and distributed source coding. She co-authored 18 patents, 8 chapters in books on wavelets, image coding, multimedia communication, distributed coding, (co-)authored 54 journal publications and around 135 conference articles.

She has served as Associate Editor for IEEE Trans. on Image Processing (from 2000 to 2003), for IEEE Trans. on Circuits and Systems for Video Technology (from 2004 to 2006), and for IEEE Trans. on Signal Processing (2007-2009). She is currently associate editor of the Eurasip journal on image communication (since 2010). She is a member of the committee which assigns the best paper award of the EURASIP Journal on Image Communication (JoIC) since 2003.

She has served on the IEEE IMDSP - International Multidimensional Digital Signal Processing - technical committee as well as of the IEEE MMSP - International Multimedia Signal Processing - technical committee. She is currently an associated member of the IEEE MMSP - International Multimedia Signal Processing - technical committee.

She has been (and is) the member of technical programme committees of a number of international conferences. She has been the general co-chair of the Picture Coding Symposium (PCS) in 2003, and the technical co-chair of the packet video workshop in 2003. She has been special session co-chair at IEEE ICME conference in Hannover, in May 2008. She has been the general co-chair of the IEEE Multimedia Signal Processing (MMSP) workshop held in Saint Malo in October 2010, and the technical program co-chair of the packet video workshop to be held in Munchen in May 2012. She is a member (keynote chair) of the organizing committee of the IEEE International Conference on Image Processing (ICIP) to be held in Paris in 2014.

Several PhD students whom she has supervised have received best student paper awards at top international conferences (IEEE-SIPS 2005, IEEE-MMSP 2007, IEEE-ICIP 2010, IEEE-MMSP 2010, IEEE-ICASSP 2012). One of her PhD students has been among the 8 nominated for the best student award at IEEE-ICIP 2011. former PhD student has received the 2010 Young Brittany researcher award as well as the thesis award delivered by the EEA club (club of researchers in electronics and automatic).

She has been promoted to the grade of "Chevalier de la legion d’Honneur" by decret of the president of French republic (April 2, 2010).

Research Activities

My areas of interest are 2D and 3D image and video modeling and compression, sparse representations and data dimensionality reduction for a number of image and video processing problems (prediction, inpainting, super-resolution), joint source-channel coding, distributed source coding, video communication over wired and wireless networks.

2D and 3D image and video representation and compression

The objective is to develop new algorithmic tools for compact representations of 2D images and video sequences, as well as of 3D video sequences captured by multiple cameras. In that context, 2D image and video coding algorihms relying on wavelet-based representations, including new types of wavelet transforms such as oriented wavelet transforms, and locally-adaptive directional transforms are studied. Methods of texture synthesis and prediction based on sparse signal representation and data dimensionality reduction techniques are being developed. The problem of dictionary learning is also addressed. These problems are addressed for 2D images and videos but also for multi-view videos for which compact representations, e.g. based on LDI and LDV representations, of 3D video sequences captured by multiple cameras are developed. Thse compact representations must allow for high quality rendering of virtual views e.g. for free viewpoint navigation or for rendering on auto-stereoscopic displays. Our objective is also to investigate methods for constructing high-level representations of visual data. The envisaged methodologies include the extraction of global representations of the scene, in the same vein as GIST representations, as well as patch-based probability models which, together with appropriate inference algorithms, are useful for machine learning, for inpainting or for super-resolution problems. Another family of approaches, which we have started to explore makes use of computer vision techniques tracking self similarities within and across images. Although earlier work has shown that epitomes could be powerful tools for segmentation, denoising, recognition, indexing, and texture synthesis, further considerations, as their mean description length, or robustness, need to be taken into account in a compression and communication context, likely to lead to specialized construction methods.

Sparse representations, dictionary learning and data dimensionality reduction

Sparse representations have become an important topic in signal and image processing. Sparsity of the representation depends on how well the dictionary is adapted to the data at hand. The problem of dictionary learning for data-adaptive representations, that goes beyond the concatenation of traditional bases, has thus become a key issue for further progress in this area. We thus pursue our research work on dictionary learning and basis optimization for sparsity, and this for different visual processing problems. Data dimensionality reduction also finds applications in a number of domains such as data mining, machine learning, information retrieval, computer vision and visual processing (compression, understanding, classification). It is actually a rather broad research area which encompasses numerous methods which we investigate for various image processing tasks: prediction, inpainting and super-resolution.

Joint source-channel coding

The advent of Internet and wireless communications, often characterized by narrow-band, error and/or loss prone, heterogeneous and time-varying channels, is creating challenging problems in the area of source and channel coding. Design principles prevailing so far and stemming from Shannon's source and channel separation theorem must be re-considered. The separation theorem, stating that source and channel optimum performance bounds can be approached as close as desired by designing independently source and channel coding strategies, holds only under asymptotic conditions where both codes are allowed infinite length and complexity. If the design of the system is heavily constrained in terms of complexity or delay, source and channel coders, designed in isolation, can be largely suboptimal. Our objective is to develop a theoretical and practical framework setting the foundations for optimal design of image and video transmission systems over heterogeneous, time-varying wired and wireless networks. Many of the theoretical challenges are related to understanding the tradeoffs between rate-distortion performance, delay and complexity for the code design. The issues addressed encompass the design of error-resilient source codes, joint source-channel source codes and multiply descriptive codes, minimizing the impact of channel noise (packet losses, bit errors) on the quality of the reconstructed signal, as well as of turbo or iterative decoding techniques in order to address the tradeoff performance-complexity.

Distributed source coding.

Current compression systems exploit correlation on the sender side, via the encoder, e.g. making use of motion-compensated predictive or filtering techniques. This results in asymmetric systems with respectively higher encoder and lower decoder complexities suitable for applications such as digital TV, or retrieval from servers with e.g. mobile devices. However, there are numerous applications such as multi-sensors, multi-camera vision systems, surveillance systems, light-weight video compression systems (extension of MMS-based still image transmission to video) that would benefit from the dual model where correlated signals are coded separately and decoded jointly. This model, at the origin of distributed source coding, finds its foundations in the Slepian-Wolf theorem established in 1973. Even though first theoretical foundations date back to early 70's, it is only recently that concrete solutions, motivated by the above applications, aiming at approaching the theoretic performance bounds have been introduced.

Journal publications and book chapters per research theme

Multirate filter banks and wavelets

  1. R. Ansari, C. Guillemot and J.F. Kaiser, "Wavelet Construction Using Lagrange Interpolation Filters," IEEE Transactions on Circuits and Systems, vol. CAS-38, pp.1116-1118, September 1991.
  2. C. Guillemot and R. Ansari, "Two-Dimensional Filters with Wideband Circularly Symmetric Frequency Response", IEEE Transactions on Circuits and Systems, vol. CAS-41, pp.703-707, October 1994.
  3. C. Guillemot, E. Cetin and R. Ansari, "Nonrectangular Wavelet Representation of 2-D Signals. Application to Image Coding", chapter in Book "Wavelets in Image Communication", Eds Elsevier Press 1994.
  4. C. Guillemot, P. Rault and P. Onno, ``Time-invariant and time-varying multirate filter banks: Application to image coding'', Annals of Telecom, May-June 1998.
  5. Patrick Rault et Christine Guillemot "Symmetric Delay Factorization : Generalized Framework for Paraunitary Filter Banks", IEEE Transactions on Signal Processing, vol. 47, No. 12, pp. 3315-3325, Déc. 1999.

Image and Video Compression

  1. C. Guillemot and S. Pateux, "Eléments de théorie de l'information et de communication vidéo", Chapter in book "Images et vidéo: compression et codage", Eds Hermes 2001.
  2. H. Nicolas and C. Guillemot, "Normes de compression vidéo", chapter in book "Images et vidéo: compression et codage", Eds Hermes 2001.
  3. P. Rault et C. Guillemot "Indexing algorithms for Zn, An, Dn, and Dn++ Lattice Vector Quantizers ", IEEE Transactions on Multimedia, vol. 3, No. 4, pp.395-404, Déc. 2001.
  4. R. Ansari, C. Guillemot and N. Memom, "The JPEG lossy standard", chapter in "The Handbook in Image and Video Processing ", Eds Prentice-Hall, Editor Alan Bovik, 2004.
  5. N. Memom, C. Guillemot and R. Ansari, "The JPEG lossless standard", chapter in "The Handbook in Image and Video Processing ", Eds Prentice-Hall, Editor Alan Bovik,2004.
  6. V. Chappelier and C. Guillemot, «Oriented wavelet transform for image compression and de-noising», IEEE Trans. on Image Processing, Vol. 15, No. 10, pp. 2892-2903, Oct. 2006.
  7. W. Yang, G. Rath and C. Guillemot, “Scalable video coding with novel decorrelation techniques”, Eurasip Journal on Applied Signal Processing, special issue on video adaptation for heterogeneous environments, Volume 2007, Article ID 54342, 15 pages, 2007.
  8. R. Ansari, C. Guillemot and N. Memom, “JPEG and JPEG-2000”, The essential guide to image processing, Edited by A. Bovik, Elsevier Inc., 2008.
  9. G. Rath, W. Yang and C. Guillemot, « Compression of Laplacian Pyramids through Orthogonal Transforms and Improved Predictions »”, IEEE Trans. on Signal Processing, vol. 17, no. 9, pp. 1587-1604, Sept. 2008.
  10. Z. Chen and C. Guillemot, "Perceptually-friendly H.264/AVC Video Coding based on a Foveated-Just-Noticeable Distortion model", IEEE Trans. on Circuits and Systems for Video Technology, vol. 20, Issue. 6, pp. 806-819, June 2010.

Sparse representations and data dimensionality reduction for video processing

  1. G. Rath and C. Guillemot, "On a simple derivation of the complementary matching pursuit", Elsevier journal on Signal Processing, July 2009.
  2. A. Martin, J.J. Fuchs, C. Guillemot, D. Thoreau, " Sparse representations for spatial prediction and texture refinement", special issue on "emerging techniques for high performance video coding" of the international journal on Visual Communication and Image representation (JVCI), Jan. 2011.
  3. J. Zepeda, C. Guillemot, E. Kijak, "Image Compression using the Iteration-tuned and Aligned Dictionary", IEEE Journal of Selected Topics in Signal Processing, special issue on "Adaptive sparse representation of data and applications in signal and image processing", vol. 5, No. 5, pp. 1061-1073, Sept. 2011.
  4. M. Turkan, C. Guillemot, "Image prediction based on neighbor embedding methods", IEEE Trans. On Image Processing, to appear, 2012.
  5. C. Guillemot, M. Turkan, O. Le Meur "Constrained least squares neighbor embeddings for image inpainting", IEEE Trans. On Image Processing, submitted, Jan. 2012.

Video streaming over networks

  1. C. Guillemot et R. Ansari, "Layered Coding Schemes for Video Transmission on ATM Networks", Journal of Visual Communication and Image Representation, Septembre1994.
  2. F. Le Léannec, F. Toutain, C. Guillemot, 'Packet Loss Resilient MPEG-4 Compliant video Coding for the Internet', Eurasip Journal on Image Communication, Special Issue on 'Real Time Video Over the Internet', Septembre 1999.
  3. Xavier Hénocq et Christine Guillemot, "Source adaptive error control for real-time video over the Internet", special issue "image and video" du journal "Calculateur Parallèle", vol. 12, N° 3-4, 2000.
  4. C. Guillemot and T. Turletti, "Algorithmes de codage et de contrôle de transmission vidéo sur réseaux hétérogènes", chapter in book "Systèmes Multimedia Communicants", Eds Hermes 2000.
  5. J. Viéron, T. Turletti, K. Salamatian and C. Guillemot, "Source and channel adaptive rate control for multicast layered video transmission based on a clustering algorithm", Eurasip journal on applied signal processing, special issue on Multimedia Over IP and Wireless Networks, No.2, 158-176, Fév. 2004.
  6. J. Viéron et C. Guillemot, "Real-time constrained TCP-compatible rate control for video over the Internet", IEEE Transactions on Multimedia, vol. 6, No. 4, Aug. 2004.
  7. O. Crave, C. Guillemot, B. Pesquet-Popescu, C. Tillier, “Distributed Temporal Multiple Description Coding for Robust Video Transmission”, Eurasip journal on wireless communication and networking, special issue on “Multimedia over Wireless Networks”, Volume 2008 (2008), Article ID 183536, 13 pages.
  8. O. Crave, B. Pesquet-Popescu, C. Guillemot, " Robust video coding based on multiple scalar quantization with side information" IEEE Trans. on Circuits and Systems for Video Technology, vol. 20, Issue. 6, pp. 669-679, June 2010.

Frames and joint source-channel codes

  1. G. Rath et C. Guillemot, "Performance analysis and recursive syndrome decoding of DFT codes for bursty erasure recovery", IEEE Trans. on Signal Processing, vol. 51, No. 5, pp. 1335-1350, May 2003.
  2. G. Rath et C. Guillemot, "Frame-theoretic analysis of DFT codes with erasures", IEEE Transactions on Signal Processing, vol. 52, No. 2, pp. 447-460, Feb. 2004.
  3. G Rath et C. Guillemot, "Recent advances on DFT codes based quantized frame expansions for erasure channels", Elsevier journal on Digital Signal Processing, vol. 14, No. 4, pp. 332-354, July 2004.
  4. R. Motwani et C. Guillemot, " Tree-structure oversampled filter banks as joint source-channel codes : application to image transmission over erasure channels ", IEEE Trans. on signal processing, pp. 2584-2599, Sept. 2004.
  5. G Rath et C. Guillemot, "Subspace-based method for error and erasure recovery with DFT codes for wireless channels", IEEE Trans. on Signal Processing, vol. 52, No. 11, pp. 3241-3252, Nov. 2004.
  6. G. Rath et C. Guillemot, "Subspace algorithms for error localization with quantized DFT codes ", IEEE Trans. on communications, vol. 52, No. 12, pp. 2115-2124, Dec. 2004.
  7. S. Marinkovic et C. Guillemot, " Joint Source-channel Coding Based on Cosine Modulated Filter Banks for Erasure Resilient Signal Transmission", Eurasip journal on applied signal processing, No. 4, pp. 510-524, April 2005.
  8. G. Rath et C.Guillemot, "Characterization of a class of error correcting frames for robust signal transmission over wireless communication channels ", accepted for publication in Eurasip journal on applied signal processing, special issue on design of cross-layer communication systems ", No. 2, pp. 229-241, February 005.
  9. S Marinkovic and C. Guillemot, “Joint source-channel coding by means of over-sampled filter bank codes”, Eurasip journal on applied signal processing, vol. 2006, No. 7, 2006.

Joint source-channel coding/decoding and the turbo principle

  1. A. Guyader, E. Fabre, C. Guillemot and M. Robert, "Joint source and channel turbo decoding of entropy coded sources", IEEE Journal on Selected Areas in Communications, special issue on the turbo principle: from theory to practice, vol. 19, No. 9, pp.1680-1696, Sept. 2001.
  2. T. Guionnet et C. Guillemot, "Soft decoding and synchronization of arithmetic codes for image transmission over error-prone channels", IEEE Trans. on Image Processing, vol. 12, No. 12, pp 1599-1609, Dec. 2003.
  3. T. Guionnet et C. Guillemot, "Soft and joint source-channel decoding of quasi-arithmetic codes", Eurasip journal on applied signal processing, No. 3, pp. 393-411, March 2004.
  4. C. Guillemot et P. Christ, " Joint source-channel coding as a framework for 4G wireless multimedia ", Eurasip computer communication journal, special issue on " Research directions for 4th generation networks ", vol.27, No. 8 , pp. 762-779, May 2004.
  5. C. Guillemot et P. Siohan, " Joint source-channel decoding with soft information : overview and recent advances ", accepted for publication in Eurasip journal on applied signal processing, numéro spécial " turbo processing ", 2004.
  6. H. Jégou, M. Jeanne and C. Guillemot, "A new set of state models for soft decoding of Variable Length Codes", submitted for publication in IEEE Trans. on Communication, 2005.
  7. M. Jeanne, C. Guillemot, T. Guionnet and F. Pauchet “Error-resilient decoding of context-based adaptive binary arithmetic codes”, Signal, Image and Video Processing Journal, Springer, vol. 1, No. 1, pp. 77-87, Apr. 2007.
  8. S. Malinowski, H. Jégou and C. Guillemot, “Synchronization recovery and state space reduction for efficient soft decoding of variable length codes”, IEEE Trans. on Information Theory, vol. 53, No. 1, pp. 368-377, Jan. 2007.
  9. X. Jaspar, C. Guillemot and L. Vandendorpe, “Joint source-channel turbo techniques: from theory to practice”, invited paper in Proceedings of the IEEE, Special issue on the turbo principle, vol. 95, No. 6, June 2007.
  10. S. Malinowski, H. Jégou and C. Guillemot, "Error recovery and new state models for quasi-arithmetic codes", Eurasip journal on applied signal processing, Volume 2008, Issue no.1, Article ID 752840, 12 pages, Jan. 2008.
  11. S. Malinowski, H. Jégou and C. Guillemot, “Posterior marginals computation on aggregated state models for soft source decoding”, IEEE Trans. on communication, vol. 57, No. 3, pp. 888-892, Apr.2009.

Error-resilient source codes

  1. H. Jégou et C. Guillemot, "Robust multiplexed codes for compression of heterogeneous data", IEEE Transactions on Information Theory, vol. 51, No. 4, pp. 1393-1403, April 2005.
  2. H.Jégou and C. Guillemot, « Error-resilient first-order multiplexed codes : performance bounds, design and decoding algorithms”, IEEE trans. on Signal Processing, Vol. 54, No. 4, pp. 1483-1492, Apr. 2006.
  3. H. Jégou and C. Guillemot, “Progressive and error resilient transmission strategies for VLC encoded signals over noisy channels”, Eurasip journal on applied signal processing, special issue on video analysis and coding for robust transmission, vol. 2006, No. 5, 2006.
  4. H. Jégou and C. Guillemot, « Entropy coding with variable length re-writing rules », IEEE Trans. on Communication, vol. 55, No. 3, pp. 444-452, March 2007.

Distributed source coding

  1. K. Lajnef, C. Guillemot and P. Siohan, “Distributed coding of three binary and Gaussian correlated sources using punctured turbo codes”, Eurasip journal on signal processing, special issue on distributed source coding, vol. 86, pp. 3131-3149, Apr. 2006.
  2. M. Maître, C. Guillemot and L. Morin, « 3D scene modelling for distributed video coding », IEEE Trans. on Image Processing, vol. 16, No. 5, pp. 1246-1257, May 2007.
  3. C. Guillemot, F. Pereira, L. Torres, T. Ebrahimi, R. Leonardi, J. Ostermann, “Distributed Monoview and Multiview Video Coding: Basics, Problems and Recent Advances”, IEEE signal processing magazine, Special Issue on Signal Processing for Multiterminal Communication Systems, pp. 67-76, Sept. 2007.
  4. F. Pereira, L. Torres, C. Guillemot, T. Ebrahimi, R. Leonardi, J. Ostermann,” Distributed Video Coding Selecting the Most Promising Application Scenarios, Eurasip journal on image communication, Elsevier Science Inc., vol. 23, no. 5, pp. 339-352, June 2008.
  5. C. Guillemot, F. Pereira and L. Torres, “Editorial of the special issue on distributed video coding”, Eurasip journal on image communication, Elsevier Science Inc., vol. 23, no. 5, pp. 337-338, June 2008.
  6. C. Guillemot and A. Roumy, “Towards constructive Slepian-Wolf coding schemes”, chapter in the edited book on distributed source coding, Edited by M. Gaspar and P.L. Dragotti, Elsevier Inc., 2008.
  7. O. Crave, C. Guillemot, B. Pesquet-Popescu, C. Tillier, "Distributed Temporal Multiple Description Coding for Robust Video Transmission", Eurasip journal on wireless communication and networking, special issue on Multimedia over Wireless Networks, Volume 2008 (2008), Article ID 183536, 13 pages.
  8. O. Crave, C. Guillemot, B. Pesquet-Popescu, " Multiple Description scalar quantization with side information: Practical scheme and iterative decoding" Eurasip Journal on Advances in Signal Processing, JASP, Volume 2009 (2009), Article ID 170924.
  9. S. Malinowski, X.Artigas, C. Guillemot, L. Torres, "Punctured Quasi-Arithmetic Codes for Distributed Source Coding", IEEE Trans on Signal Processing, vol. 57, No. 10, pages 4154-4158, Oct. 2009.
  10. V. Toto-Zarasoa, A. Roumy, C. Guillemot, " Maximum likelihood BSC parameter estimation for the Slepian-Wolf problem ", IEEE Communication Letters, vol. 15, No.2, pp. 232-234, Feb. 2011.
  11. V. Toto-Zarasoa, A. Roumy, C. Guillemot, " Source modeling for distributed video coding ", IEEE Trans. On Circuits and Systems for Video Technology, vol. 21, No. 10, May, 2011.

The list of conference publications can be found here, per year.

Recent Conference Publications

2012

  1. S. Cherigui, C. Guillemot, D. Thoreau, P. Guillotel, P. Perez, " Hybrid Template and Block Matching for Image Intra Prediction ", IEEE International Conference on Acoustics and Signal Processing (IEEE-ICASSP), 2012, (best student paper award) .
  2. M. Bevilacqua, A. Roumy, C. Guillemot, M.-L. Alberi Morel, "Neighbor Embedding Based Single-Image Super-Resolution using Semi-Nonnegative Matrix Factorization", IEEE International Conference on Acoustics and Signal Processing (IEEE-ICASSP), 2012.
  3. C. Guillemot and M. Turkan, "Neighbor Embedding with Non-negative Matrix Factorization for image prediction", IEEE International Conference on Acoustics and Signal Processing (IEEE-ICASSP), 2012.
  4. J. Gautier, O. Le Meur, and C. Guillemot, " Efficient depth map compression based on lossless edge coding and diffusion ", Picture Coding Symposium, PCS, May 2012.

2011

  1. J. Zepeda, C. Guillemot, E. Kijak "Image compression using the iteration-tuned and aligned dictionary", IEEE International Conference on Acoustics and Signal Processing (ICASSP), 22-27 May, 2011.
  2. M. Turkan, C. Guillemot, "Image prediction based on non-negative matrix factorization" IEEE International Conference on Acoustics and Signal Processing (IEEE-ICASSP), 22-27 May, 2011.
  3. J. Gauthier, O. Le Meur and C. Guillemot, " Depth-based image completion for view synthesis", 3DTV international workshop, 16-18 May, 2011.
  4. E. Bosc, V. Jantet, L. Morin, M. Pressigout and C. Guillemot, "Bit-Rate Allocation for Multi-View Video plus Depth, 3DTV international workshop, 16-18 May, 2011.
  5. V. Jantet, C. Guillemot, L. Morin,"Object-based layered depth images for improved virtual view synthesis in a rate-constrained context" IEEE International Conference on Image Processing, IEEE-ICIP, Sept. 2011.
  6. O. Le Meur, J. Gauthier and C. Guillemot, " Examplar-based inpainting based on local geometry ", IEEE International Conference on Image Processing, IEEE-ICIP, Sept. 2011.
  7. M. Turkan and C. Guillemot, "Online dictionaries for image prediction", IEEE International Conference on Image Processing, IEEE-ICIP, Sept. 2011 ( among the 8 nominated for the best student paper award) .
  8. S. Cherigui, C. Guillemot, D. Thoreau, P. Guillotel, "Epitome-based image compression", IEEE International Conference on MultiMedia Signal Processing, IEEE-MMSP, Oct. 2011.

2010

  1. A Martin, J.J. Fuchs, C. Guillemot and D. Thoreau, "Phase refinement for image prediction based on sparse prediction", SPIE Electronic Imaging Conference on Visual Information Processing and Communication, 2010.
  2. T. Maugey, J. Gauthier, B. Pesquet-Popescu and C. Guillemot, "Using an exponential power model for Wyner-Ziv Coding", IEEE Intl. Conf. On Acoustic and Signal Processing, ICASSP 2010.
  3. A. Dremeau, C. Herzet, C. Guillemot and J.J. Fuchs, " Sparse Optimization with Directional DCT Bases for Image Compression", IEEE Intl. Conf. On Acoustic and Signal Processing, ICASSP 2010.
  4. J. Zepeda, E. Kijak, C. Guillemot, "Approximate nearest neighbors using sparse representations", IEEE Intl. Conf. On Acoustic and Signal Processing, ICASSP 2010.
  5. V. Toto-Zarasoa, A. Roumy, C. Guillemot, " Non-uniform source modeling for distributed video coding ", Proc. European Conference on Signal Processing, Aalborg, EUSIPCO, Aug. 2010.
  6. V. Toto-Zarasoa and A. Roumy and C. Guillemot , "Hidden Markov model for Distributed Video Coding",IEEE International Conference on Image Processing (ICIP), Sept., 2010.
  7. V. Toto-Zarasoa and A. Roumy and C. Guillemot, Non-asymmetric Slepian-Wolf coding of non-uniform Bernoulli sources, The 6th International Symposium on Turbo codes (ISTC), Sept. 2010.
  8. J. Zepeda, E. Kijak, C. Guillemot, "The Iteration-Tuned Dictionary for Sparse Representations", Proc. of the IEEE International Workshop on MMSP, Saint-Malo, Oct. 2010 ( Best student paper award)
  9. A. Drémeau, M.Turkan, C.Herzet, C.Guillemot and J.-J.Fuchs "Spatial intra-prediction based on mixtures of sparse representations", To appear in IEEE International Workshop on Multimedia Signal Processing (MMSP'10), Saint-Malo, France, Oct. 2010.
  10. M. Turkan and C. Guillemot, "Image prediction: Template matching versus Sparse Approximation", in IEEE Intl. Conference on Image Processing, ICIP, Hong-Kong, 26-29 Sept. 2010 (Best Student Paper Award ).

2009

  1. O. Crave, C.Guillemot and B. Pesquet-Popescu, ”Multiple description video coding and iterative decoding of LDPCA codes with side information”, IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, 2009.
  2. G. Rath and C. Guillemot, “Sparse approximation with an orthogonal complementary matching pursuit algorithm”, IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, 2009.
  3. V. Toto-Zarasoa, A. Roumy, C. Guillemot and C. Herzet, “Robust and Fast Non Asymmetric Distributed Source Coding Using Turbo Codes on the Syndrome Trellis”, IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, 2009.
  4. M. Grangetto, C. Guillemot, E. Magli, S. Malinowski, G. Olmo, “On the performance of arithmetic and quasi-arithmetic codes for joint source-channel coding”, Newcom++ workshop, Barcelona, Apr. 2009.
  5. S. Malinowski, X. Artigas, C. Guillemot and L. Torres, “Distributed coding using punctured quasi-arithmetic codes for memory and memoryless sources”, in Proc. of the Picture Coding Symposium, PCS Chicago, 2009.
  6. Z. Chen and C. Guillemot,” Perception-oriented video coding based on a foveated JND model”, in Proc. of the Picture Coding Symposium, PCS Chicago, 2009.
  7. Z. Chen and C. Guillemot, “Perceptually-friendly H.264/AVC video coding”, in Proc. IEEE Intl. conference on Image Processing, submitted to the IEEE Intl. Conf. On Image Processing, ICIP 2009.
  8. J. Zepeda, E. Kijak and C. Guillemot, “SIFT-Based Local Image Description Using Sparse Representations”, to appear in IEEE workshop on Multimedia Signal Processing (MMSP) 2009.
  9. T. Maugey, J. Gauthier, B. Pesquet-Popescu and C. Guillemot, ”Using an exponential power model for Wyner-Ziv Coding”, submitted to the IEEE Intl. Conf. On Image Processing, ICIP 2009.
  10. A. Dremeau, C. Herzet, C. Guillemot and J.J. Fuchs, « Sparse Optimization with Directional DCT Bases for Image Compression”, submitted to IEEE workshop on Multimedia Signal Processing (MMSP) 2009.

2008

  1. V. Toto-Zarasoa, A. Roumy and C. Guillemot, “ Rate-adaptive codes for the entire Slepian-Wolf region and arbitrarily correlated sources”, IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, Las Vegas, April 2008.
  2. A. Martin, J-J. Fuchs, C. Guillemot, D. Thoreau, « Atomic decompositions dedicated to AVC and spatial SVC prediction », IEEE Intl. Conference on Image Processing, IEEE-ICIP, Oct. 2008.
  3. G. Rath and C. Guillemot, “A complementary matching pursuit algorithm for sparse approximation”, European Signal Processing Conference, EUSIPCO, Aug. 2008.
  4. O. Crave, C. Guillemot and B. Pesquet-Popescu, “Multiple description source coding with side information”, submitted to European Signal Processing Conference, EUSIPCO, Aug. 2008
  5. X. Artigas, S. Malinowski, C. Guillemot and L. Torres, “Overlapped arithmetic codes with memory”, submitted to European Signal Processing Conference, EUSIPCO, Aug. 2008.
  6. G. Rath and C. Guillemot, “An Orthogonal Complementary Matching Pursuit Algorithm for Sparse Approximation”, IEEE Intl. workshop on Signal processing and systems, IEEE-SIPS, Oct. 2008.
  7. C. Dikici, C. Guillemot, C. Fontaine, K. Idrissi, A. Baskurt, «Dirty paper coding with partial state information”, ISIVC, 2008.
  8. G. Rath, C. Guillemot, J-J. Fuchs, “Sparse approximations for joint source-channel coding and its application to image transmission”, IEEE Intl. Workshop on Multimedia Signal Processing, IEEE-MMSP, Oct. 2008.
  9. J. Nayak, G. Rath; D. Kubasov and C. Guillemot, “Spatial prediction in distributed video coding using Wyner-Ziv DPCM”, IEEE Workshop on Multimedia Signal Processing, IEEE-MMSP, Oct. 2008.

2007

  1. W. Yang, G. Rath and C. Guillemot, “Improved spatial inter-layer prediction for scalable video coding”, IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, Honolulu, 2007.
  2. O. Dabeer, A. Roumy and C. Guillemot, “Optimal linear transceivers for the CEO problem over the Gaussian MAC”, IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, Honolulu, 2007.
  3. O. Dabeer, A. Roumy and C. Guillemot, “Linear transceivers for sending correlated sources over the Guassian MAC”, National Communication Conference, 2007.
  4. A. Martin, J.J. Fuchs, C. Guillemot, D. Thoreau, « Sparse representation for Image Prediction », European Signal Processing Conference, EUSIPCO, 2007.
  5. O. Crave, C. Guillemot, B. Pesquet, C. Tillier, « Robust video transmission based on distributed multiple description coding », European Signal Processing Conference, EUSIPCO, 2007.
  6. C. Tillier, O. Crave, B. Pesquet, C. Guillemot, « A comparison of four video multiple description coding schemes », European Signal Processing Conference, EUSIPCO, 2007.
  7. X. Artigas, S. Malinowski, C. Guillemot and L. Torres, “Overlapped Quasi-arithmetic Codes for Distributed Video Coding”, IEEE Intl. Conf. on Image Processing, 2007.
  8. D. Kubasov, K. Lajnef, and C. Guillemot, “Hybrid coder/decoder rate control for Wyner-Ziv video coding with a feedback channel”, IEEE MultiMedia Signal Processing Workshop, MMSP, Oct. 2007.
  9. D. Kubasov, J. Nayak, and C. Guillemot, “Optimal Inverse Quantisation in Wyner-Ziv Video Coding with Multiple Side Information”, IEEE MultiMedia Signal Processing Workshop, MMSP, Oct. 2007.( Best student paper award
  10. Y. Liu, G. Rath and C. Guillemot, “Improved Intra prediction for H.264/AVC scalable extension”, IEEE MultiMedia Signal Processing Workshop, MMSP, Oct. 2007.
  11. J-J. Fuchs and C. Guillemot, “Fast implementation of a l_infinity-l_1 penalized sparse representations algorithm: Applications in image coding”, 41st Asilomar Conference on Signals, Systems and Computers, 4 - November 7, 2007, Pacific Grove, California.
  12. A. Roumy, K. Lajnef, and C. Guillemot, “Rate-adaptive turbo-syndrome scheme for Slepian-Wolf Coding”, 41st Asilomar Conference on Signals, Systems and Computers, 4 - November 7, 2007, Pacific Grove, California.

2006

  1. S. Malinowski, H. Jégou and C. Guillemot, “On the link between the synchronization recovery and soft decoding of Variable Length Codes”, Proc. of the 4th International Symposium on Turbo codes, Munich, 2006.
  2. S. Malinowski, H. Jégou and C. Guillemot, “Error recovery properties of Quasi-arithmetic codes”, Proc. IEEE International Symposium on Information theory, ISIT, Seattle, 2006.
  3. M. Maître, C. Guillemot, and L.Morin, “3D scene modelling for distributed video coding”, Proc of the IEEE intl. conference on Image Processing, ICIP, Atlanta, Oct. 2006.
  4. D. Kubasov and C. Guillemot, “Mesh-based motion compensated interpolation for side information extraction in distributed video coding”, Proc of the IEEE intl. conference on Image Processing, Atlanta, Oct. 2006.
  5. G. Rath and C. Guillemot, “Critical representations of Laplacian Pyramids”, Proc of the IEEE Intl. conference on Image Processing, ICIP, Atlanta, Oct. 2006.
  6. G. Rath and C. Guillemot, “Representing Laplacian pyramids with varying amounts of redundancy”, Proc of the European Signal Processing Conference, Eusipco, Firenze, Sept. 2006.
  7. G. Rath and C. Guillemot, “Compressing the Laplacian pyramid”, Proc. IEEE Multimedia Signal Processing Conf., MMSP, Victoria, Oct. 2006.

2005

  1. V. Chappelier, C. Guillemot, "Oriented 1D wavelet transform on a quincunx pyramid for image compression", Proc. IEEE Int. conf. on Image Processing, ICIP, Genoa, Sept. 2005.
  2. H. Jégou and C. Guillemot, "Entropy coding with variable length rewriting systems", Proc. IEEE International symposium on information theory, ISIT, Adelaide, Australia, 2005.
  3. F. Tonnin, P. Gros and C. Guillemot, "Analysis of multiresolution representations for compression and local description of images ", Proc. of the 8th International Conference on VISual Information Systems, Amsterdam, July, 2005.
  4. K. Lajnef, C. Guillemot, and P. Siohan, "Wyner-Ziv Coding of Three Correlated Gaussian Sources using Punctured Turbo Codes", Proc. IEEE Intl. workshop on signal processing systems, SIPS, Athens, 2005.
  5. S. Malinowski, H. Jégou, and C. Guillemot, "Trellis state aggregation for soft decoding of variable length codes", IEEE Intl. workshop on signal processing systems, SIPS, Athens, 2005 ( Best Student Paper Award) .

2004

  1. T. Guionnet and C. Guillemot, "Joint source-channel decoding of quasi-arithmetic codes", Proc. of the Data Compression Conference, DCC, Snowbird, March 2004.
  2. S. Marinkovic and C. Guillemot, "Erasure Resilience of Oversampled Filter Bank Codes Based on Cosine Modulated Filter Banks", Proc. of the IEEE Intl. conference on communication, ICC, Paris, May 2004.
  3. H. Jégou, T. Guionnet and C. Guillemot, "Error-resilient and progressive transmission and decoding of compressed images", Proc. of the Intl. workshop on image analysis for multimedia interactive services, WIAMIS, Lisboa, Apr. 2004.
  4. H. Jégou and C. Guillemot, "First-order multiplexed source codes for error-resilient entropy coding", Proc. of the IEEE Intl. symposium on Information Theory, ISIT, Chicago, Jul. 2004.
  5. R. Motwani and C. Guillemot, "Filter bank frame expansion with erasures - A para-pseudo inverse based reconstruction", Proc. of the IEEE Intl. symposium on Information Theory, ISIT, Chicago, Jul. 2004.
  6. H. Jégou and C. Guillemot, "Suffix-constrained codes for progressive and robust data compression: self-multiplexed codes", Proc. of the European conference on signal processing, EUSIPCO, Vienna, Sept. 2004.
  7. S. Marinkovic and C. Guillemot, "Impulse noise correction in an image transmission system by means of an oversampled filter bank code", Proc. of the European conference on signal processing, EUSIPCO, Vienna, Sept. 2004.
  8. G. Boisson, E. François and C. Guillemot, " Efficient scalable motion coding for wide range scalable video compression " Proc. European conference on signal processing, EUSIPCO, Vienna, Sept. 2004.
  9. G. Boisson, E. François and C. Guillemot, " Accuracy-scalable motion coding for efficient scalable video compression" Proc. IEEE International Conference on Image Processing, ICIP, Singapore, Oct.. 2004.
  10. V. Chappelier, C. Guillemot, and S. Marinkovic, " Image coding with iterated contourlet and wavelet transforms", Proc. IEEE International Conference on Image Processing, ICIP, Singapore, Oct. 2004.
  11. R. Motwani, C. Guillemot, "A para-pseudo inverse based method for reconstruction of filter bank frame-expanded signals from erasures", Proc. IEEE International Conference on Image Processing, ICIP, Singapore, Oct.. 2004.
  12. K. Lajneff, C. Guillemot, P. Siohan, " Distributed Source Coding of Three sources using Punctured Turbo Codes", Proc. IEEE Intl. workshop on Multimedia Signal Processing, MMSP, Sienna, Sept. 2004.
  13. S. Marinkovic and C. Guillemot, "Joint Source and Channel Coding/Decoding by Concatenating an Oversampled Filter Bank Code and a Redundant Entropy Code", Proc. of the IEEE Intl. GLOBECOM conference, Dallas, Dec.2004.
  14. H. Jégou and C. Guillemot, "Variable length codes over noisy channel: New transmission and decoding strategies", invited paper at the picture coding symposium, PCS, San Francisco, Dec. 2004.

2003

  1. G. Rath et C. Guillemot, "Real error and erasure correction with DFT codes for communication channels", Proc. of the IEEE Intl. Conference on Wireless Communication and Networking, WCNC, New Orleans, Mar. 2003.
  2. G. Rath and C. Guillemot, "Subspace based methods for error localization with DFT codes", Proc. of the IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, Hong Kong, Apr. 2003.
  3. H.Jégou and C. Guillemot, " Error-resilient binary multiplexed source codes", Proc. of the IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, Hong Kong, Apr. 2003.
  4. R. Motwani and C. Guillemot, "Quantized frame expansions based on tree-structured filter banks for erasure recovery", Proc. of the IEEE Intl. Conference on Acoustic, Speech and Signal Processing, ICASSP, Hong Kong, Apr. 2003.
  5. G. Rath and C. Guillemot, "Characterization of a class of error correcting frames and their application to image transmission", Proc. of the Picture Coding Symposium, PCS, Saint-Malo, Apr. 2003.
  6. G. Boisson, E. François, D. Thoreau, C. Guillemot, " Motion-compensated Spatio-temporal context-based adaptive entropy coding for full scalable video coding ", Proc. of the picture coding symposium, PCS, Saint-Malo, Apr. 2003.
  7. G. Rath et C. Guillemot, "A subspace based method for error correction with DFT codes", Proc. of the IEEE Intl. Communication Conference, ICC, Seattle, May 2003.
  8. H. Jégou et C. Guillemot, "Source multiplexed codes for error-prone channels", Proc. of the IEEE Intl. Communication Conference, ICC, Seattle, May 2003.
  9. R. Motwani et C. Guillemot, "Filter bank frame expansions as joint source-channel codes for robustness to erasures", Proc. of the IEEE Intl. Symposium on information theory, ISIT, Yokohama, Jul. 2003.
  10. G. Rath and C. Guillemot, "Error and erasure correction using overcomplete frame expansions", Proc. of the IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications, SPAWC, Rome, Jul. 2003.
  11. J. Viéron et C. Guillemot, "Low rate FGS video compression based on motion-compensated spatio-temporal wavelet analysis", Proc. of the SPIE Intl Conference on Visual Communication and Image Processing, VCIP, Lugano, Jul. 2003.
  12. R. Motwani and C. Guillemot, "Two-channels oversampled filter banks as joint source-channel codes for erasure channels", Proc. of the IEEE Intl. Conference on Image Processing, ICIP, Barcelona, Sept. 2003.
  13. G. Rath and C. Guillemot, "A subspace algorithm for error localization with overcomplete frame expansions and its application to image transmission", Proc. of the IEEE Intl. Conference on Image Processing, ICIP, Barcelona, Sept. 2003.
  14. T. Guionnet and C. Guillemot, " Robust decoding of arithmetic codes for image transmission over error-prone channels " Proc. of the IEEE Intl. Conference on Image Processing, ICIP, Barcelona, Sept. 2003.
  15. V. Chappelier, C. Guillemot, et S. Marinkovic, " Turbo Trellis Coded Quantization", International symposium on turbo codes, Brest, Sept. 2003
  16. G. Rath and C. Guillemot, " ESPRIT-like Error Localization Algorithm for a Class of Real Number Codes", Proc. of the IEEE Intl. Globecom Conference, San Francisco, Nov. 2003.

A complete list of conference publications can be found here, per year.

National and International collaborative projects

Has been participating/contributing in/to the following projects:

National

European

Collaborators (former and present) on short term contracts

Ph.D Students

Postdocs

Engineers

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