Quaero at TRECVID 2012: Semantic Indexing

Bahjat Safadi 1 Nadia Derbas 2 Abdelkader Hamadi 2 Franck Thollard 3 Georges Quénot 3, * Jonathan Delhumeau 4 Hervé Jégou 4 Tobias Gehrig 5 Hazim Kemal Ekenel 5 Rainer Stifelhagen 5
* Corresponding author
1 Laboratoire d'Informatique de Grenoble
LIG - Laboratoire d'Informatique de Grenoble
3 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
4 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : The Quaero group is a consortium of French and German organizations working on Multimedia Indexing and Retrieval. LIG, INRIA and KIT participated to the semantic indexing task and LIG participated to the organization of this task. This paper describes these participations. 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, classi cation, fusion of descriptor variants, higher-level fusion, and re-ranking. We used a number of di erent descriptors and a hierarchical fusion strategy. We also used conceptual feedback by adding a vector of classi cation score to the pool of descriptors. The best Quaero run has a Mean Inferred Average Precision of 0.2692, which ranked us 3rd out of 16 participants. We also organized the TRECVid SIN 2012 collaborative annotation.
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Bahjat Safadi, Nadia Derbas, Abdelkader Hamadi, Franck Thollard, Georges Quénot, et al.. Quaero at TRECVID 2012: Semantic Indexing. TRECVID - TREC Video Retrieval Evaluation workshop, Nov 2012, Gaithersburg, MD, United States. 6p. ⟨hal-00770240⟩

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