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CLIPS and NII at TRECvid: Shot segmentation and feature extraction

Abstract : This paper presents the systems used by CLIPS- IMAG laboratory. We participated to shot seg- mentation and high-level extraction tasks. We fo- cus this year on High-Level Features Extraction task, based on key frames classification. We pro- pose an original and promising framework for in- corporating contextual information (from image content) into the concept detection process. The proposed method combines local and global clas- sifiers with stacking, using SVM. We handle topo- logic and semantic contexts in concept detection performance and proposed solutions to handle the large amount of dimensions involved in classified data.
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Submitted on : Monday, March 3, 2014 - 2:36:13 PM
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  • HAL Id : hal-00953918, version 1



Stéphane Ayache, Georges Quénot, Jérôme Gensel, Shin'Ichi Satoh. CLIPS and NII at TRECvid: Shot segmentation and feature extraction. TREC Workshop on Video Retrieval Evaluation, 2005, Gaithersburg, MD, United States. ⟨hal-00953918⟩



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