Institute Iniversitaire Of France

Saint-Michel-sur-Orge, France

Institute Iniversitaire Of France

Saint-Michel-sur-Orge, France
SEARCH FILTERS
Time filter
Source Type

Delezoide B.,CEA Fontenay-aux-roses | Precioso F.,Cergy-Pontoise University | Precioso F.,CNRS Laboratory for Informatics | Gosselin P.,Cergy-Pontoise University | And 22 more authors.
2011 TREC Video Retrieval Evaluation Notebook Papers | Year: 2011

The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID 2011 semantic indexing and instance search tasks. For the semantic indexing task, our approach uses a six-stages processing pipelines for computing scores for the likelihood of a video shot to contain a target concept. These scores are then used for producing a ranked list of images or shots that are the most likely to contain the target concept. The pipeline is composed of the following steps: descriptor extraction, descriptor optimization, classification, fusion of descriptor variants, higher-level fusion, and re-ranking. We evaluated a number of different descriptors and tried different fusion strategies. The best IRIM run has a Mean Inferred Average Precision of 0.1387, which ranked us 5th out of 19 participants. For the instance search task, we we used both object based query and frame based query. We formulated the query in standard way as comparison of visual signatures either of object with parts of DB frames or as a comparison of visual signatures of query and DB frames. To produce visual signatures we also used two apporaches: the first one is the baseline Bag-Of-VisualWords (BOVW) model based on SURF interest point descriptor; the second approach is a Bag-Of-Regions (BOR) model that extends the traditional notion of BOVW vocabulary not only to keypoint-based descriptors but to region based descriptors.


Ballas N.,French Atomic Energy Commission | Labbe B.,French Atomic Energy Commission | Shabou A.,French Atomic Energy Commission | Le Borgne H.,French Atomic Energy Commission | And 34 more authors.
2012 TREC Video Retrieval Evaluation Notebook Papers | Year: 2012

The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID 2012 semantic indexing and instance search tasks. For the semantic indexing task, our approach uses a six-stages processing pipelines for computing scores for the likelihood of a video shot to contain a target concept. These scores are then used for producing a ranked list of images or shots that are the most likely to contain the target concept. The pipeline is composed of the following steps: descriptor extraction, descriptor optimization, classification, fusion of descriptor variants, higher-level fusion, and re-ranking. We evaluated a number of different descriptors and tried different fusion strategies. The best IRIM run has a Mean Inferred Average Precision of 0.2378, which ranked us 4th out of 16 participants.


Zheng P.,Hefei University of Technology | Zhao Z.-Q.,Hefei University of Technology | Glotin H.,CNRS Systems and Information Sciences Lab LSIS | Glotin H.,Institute Iniversitaire Of France
CEUR Workshop Proceedings | Year: 2012

This paper presents the contribution of ZhaoHFUT group to the ImageCLEF 2012 Plant identification task. The task involves identifying various species of trees based on images of their leaves. In this task, we adopted the main structure of the ScSPM model and another extension of Scale Invariant Feature Transform (SIFT) descriptors, namely flip SIFT descriptors, to investigate the performance of them considering their good performance in object classification. Although our results are not quite promising as compared to other participant groups, they can still guide our work in this field for some conclusions reached.

Loading Institute Iniversitaire Of France collaborators
Loading Institute Iniversitaire Of France collaborators