Rushes Exploitation 2006 By CAS MCG*
BibTeX
@MISC{Tang_rushesexploitation,
author = {Sheng Tang and Yong-dong Zhang and Jin-tao Li and Xue-feng Pan and Tian Xia and Ming Li and Anan Liu and Lei Bao and Shu-chang Liu and Quan-feng Yan and Li Tan},
title = {Rushes Exploitation 2006 By CAS MCG*},
year = {}
}
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Abstract
In our rushes exploitation task of TRECVID 2006, we propose a novel and interactive rushes video selection and editing method based on hierarchical browsing of key frames, where high level features of each key frame such as face, interview, person, crowd, building, outdoor, waterbody, and other information about redundancy and repetition are displayed at same time for helping editors to select what they really want. During high level feature extraction, we propose a multi-modal interview detection method based on audio classification and face detection, and a new repetition detection method based on spatio-temporal slice. We also detect some concepts such as crowd, building, outdoor, waterbody based on SVM classifiers. Additionally, we characterize rushes by categorization camera motion for inferring intention. Due to the difficulty of high level feature extraction and the diversity of editor’s requirements, our hierarchical browsing method along with extracted information may be a good choice for rushes exploitation.
