Please use this identifier to cite or link to this item: https://doi.org/10.1145/1631040.1631046
Title: Key frame vector and its application to shot retrieval
Authors: Gao, Y.
Tang, J. 
Xie, X.
Keywords: Content weighting
Key frame vector
Shot retrieval
Spatial-temporal information
Issue Date: 2009
Source: Gao, Y.,Tang, J.,Xie, X. (2009). Key frame vector and its application to shot retrieval. 1st ACM International Workshop on Interactive Multimedia for Consumer Electronics - IMCE'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 : 27-33. ScholarBank@NUS Repository. https://doi.org/10.1145/1631040.1631046
Abstract: This paper proposes a video representation method named key frame vector (KFV) to support video shot retrieval. By considering temporal correlation between frames reflects the relations between visual contents of frames, and video content weighting has influence on the video comparison performance, the proposed KFV incorporates the temporal correlation and spatial relations between frames, as well as content weighting. It employs a block-based frame comparison scheme, and uses EMD to compare shots represented by KFVs. The proposed algorithm has been demonstrated to be effective in comparison with state-of-the-arts methods. Copyright 2009 ACM.
Source Title: 1st ACM International Workshop on Interactive Multimedia for Consumer Electronics - IMCE'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
URI: http://scholarbank.nus.edu.sg/handle/10635/40146
ISBN: 9781605587585
DOI: 10.1145/1631040.1631046
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