A Novel Semantic Video Classification Model

被引：0
作者：
Ren, Wei [1 ]
Singh, Maneesha [2 ]
Singh, Sameer [2 ]
机构：
[1] Peking Univ, Fac Comp & Informat Engn, Shenzhen, Peoples R China
[2] Loughborough Univ, Res Sch Informat, Loughborough, Leics, England
来源：
2008 FIRST INTERNATIONAL WORKSHOPS ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA) | 2008年
关键词：
Spatial video retrieval; Temporal video retrieval; Binary strings; Spatio-temporal video retrieval; video classification; SEARCH ENGINE; RETRIEVAL; DISTANCE;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose a novel Spatio-Temporal Video Retrieval model to extract spatio-temporal attributes for semantic video category classification using high-level reasoning of video objects and scenes. We also explore the semantic logical inference learning of video attributes based on interpreting camera movements and object spatial constraints, as well the views on temporal continuity of video. We have used Minerva international video benchmark for the analysis of our algorithm.
引用
收藏
页码：122 / +
页数：3
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