Jonathan Delhumeau

Peyote: a flexible framework for large scale multimedia indexation

Peyote is a framework for Video and Image description, indexation and nearest neighbour search. It can be used as-is by a video-search or image-search front-end with the implemented descriptors and search modules. It can also be used via scripting for large-scale experimentation. Finally, thanks to its modularity, it can be used for scientific experimentation on new descriptors or indexation methods. Peyote has already been used in research, in an internal-use annotation tool to help find commercial instances in large TV databases (6 month long) and to compute descriptors for evaluation campaigns (Trecvid and Mediaeval).

Babaz: audio indexing system for video copy detection

Babaz is an audio search system for robust copy detection. It is available under GNU GPL here. It has been used in the Trecvid 2011 Copy Detection task and is described in details in our ICASSP 2012 paper.

Mediaeval 2012 Placing task

The aim of the placing task is to localize flickr videos on a world map using the visual content and the metadata available on the page (tags, user details, etc.). Our complete system showed the best results among all participants using no external data although my contribution was mostly on the visual content sub-component (which ranked second). A brief overview of our complete system for this task is in the workshop paper.

Trecvid 2012 Semantic Indexing task

The aim of the semantic indexing task is for each query concept to return lists of videos from the test-set most likely to contain it. We participated in the IRIM group submission by computing descriptors based on dense SIFTs, aggregated into Bag of Features and VLADs.

Trecvid 2011 Content-based Copy Detection Task

The aim of the content-based copy detection task is to identify “attacked” video segments extracted from a large database in the query videos. Our combined audio-video system was ranked third. However, the audio subsystem on which my work was focussed was ranked first among the audio-only submissions.

Revisiting the VLAD image representation

Jonathan Delhumeau, Philippe-Henri Gosselin, Hervé Jégou and Patrick Pérez,
Proc. ACM Multimedia‘13, October 2013, Barcelona, Spain.

Efficient Supervised Dimensionality Reduction for Image Categorization

Rachid Benmokhtar, Jonathan Delhumeau and Philippe-Henri Gosselin,
Proc. ICASSP‘13, May 2013, Vancouver, Canada.

Retrieving geo-location of videos with a divide & conquer hierarchical multimodal approach

Michele Trevisiol, Hervé Jégou, Jonathan Delhumeau and Guillaume Gravier,
Proc. ICMR‘13, April 2013, Dallas, USA.

How INRIA/IRISA identifies Geographic Location of a Video

Michele Trevisiol, Jonathan Delhumeau, Hervé Jégou, Guillaume Gravier,
Working Notes Proceedings of the MediaEval 2012 Workshop.

BABAZ: a large scale audio search system for video copy detection

Hervé Jégou, Jonathan Delhumeau, Jiangbo Yuan, Guillaume Gravier and Patrick Gros,
Proc. ICASSP‘12, March 2012, Japan.

INRIA@TRECVID'2011: Copy Detection & Multimedia Event Detection

Ayari M., Delhumeau J., Douze M., Jégou H., Potapov D., Revaud J., Schmid C., Yuan J,
TRECVID (2011).

Capacity of data-hiding system subject to desynchronisation

S. Pateux, G. Le Guelvouit and J. Delhumeau,
Proc. IS&T/SPIE Electronic Imaging, vol. 5306, Jan 2004, San Jose, USA.

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Construction de codes pour tatouage avec prise en compte de l'information adjacente

G. Le Guelvouit, S. Pateux and J. Delhumeau,
GRETSI Symp. on Image and Signal Processing, Sept 2003, Paris, France.

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Improved Polynomial Detectors for Side-Informed Watermarking

Jonathan Delhumeau, Teddy Furon, Guénolé Silvestre and Neil Hurley,
Security and Watermarking of Multimedia Contents IV, Jan 2002, San José, USA.

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Segmentation basée mouvement 3D pour la détection d'objets indépendants

J Delhumeau, L Morin, S Pateux,
Proc. Coresa, Jan 2003, Lyon, France.