Quaero at TRECVID 2013: Semantic Indexing and Instance Search

Bahjat Safadi 1 Nadia Derbas 2 Abdelkader Hamadi 1 Thi-Thu-Thuy Vuong 2 Han Dong 1 Philippe Mulhem 1 Georges Quénot 1
1 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : The Quaero group is a consortium of French and German organizations working on Multimedia Indexing and Retrieval1. LIG participated to the semantic indexing main task, localization task and concept pair task. LIG also participated to the organization of this task. This paper describes these participations which are quite similar to our previous year's participations. For the semantic indexing main 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, classiffication, fusion of descriptor variants, higher-level fusion, and re-ranking. We used a number of different descriptors and a hierarchical fusion strategy. We also used conceptual feedback by adding a vector of classiffication score to the pool of descriptors. The best Quaero run has a Mean Inferred Average Precision of 0.2848, which ranked us 2nd out of 26 participants. We also co-organized the TRECVid SIN 2013 task and collaborative annotation.
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Bahjat Safadi, Nadia Derbas, Abdelkader Hamadi, Thi-Thu-Thuy Vuong, Han Dong, et al.. Quaero at TRECVID 2013: Semantic Indexing and Instance Search. Proc. TRECVID Workshop, 2013, Gaithersburg, MD, United States. ⟨hal-00953086⟩

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