标题:Visual Attention Based Temporally Weighting Method for Video Hashing
作者:Liu, Xiaocui; Sun, Jiande; Liu, Ju
作者机构:[Liu, Xiaocui; Sun, Jiande; Liu, Ju] Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.; [Sun, Jiande; Liu, Ju] Hisense State Ke 更多
通讯作者:Sun, J
通讯作者地址:[Sun, JD]Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
来源:IEEE SIGNAL PROCESSING LETTERS
出版年:2013
卷:20
期:12
页码:1253-1256
DOI:10.1109/LSP.2013.2287006
关键词:Temporal weight; video copy detection; video fingerprint; video hash;; visual attention
摘要:The video hash derived from the temporally representative frame (TRF) has attracted increasing interests recently. A temporally visual weighting (TVW) method based on visual attention is proposed for the generation of TRF in this paper. In the proposed TVW method, the visual attention regions of each frame are obtained by combining the dynamic and static attention models. The temporal weight for each frame is defined as the strength of temporal variation of visual attention regions and the TRF of a video segment can be generated by accumulating the frames by the proposed TVW method. The advantage of the TVW method is proved by the comparison experiments. The video hashes used for comparison are derived from the TRFs, which are generated based on the proposed TVW method and other existing weighting methods respectively. The experimental results show that the TVW method is helpful to enhance the robustness and discrimination of video hash.
收录类别:EI;SCOPUS;SCIE
WOS核心被引频次:8
Scopus被引频次:11
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887499078&doi=10.1109%2fLSP.2013.2287006&partnerID=40&md5=af04a292b20723d6b18acb52015e18e2
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