Speeded Up Surveillance Video Indexing and Retrieval Using Abstraction

被引：0
|
作者：
Chamasemani, Fereshteh Falah [1 ]
Affendey, Lilly Suriani [1 ]
Mustapha, Norwati [1 ]
Khalid, Fatimah [1 ]
机构：
[1] Univ Putra Malaysia, Fac Comp Sci & Informat Technol, Upm Serdang 43400, Selangor Darul, Malaysia
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA) | 2017年
关键词：
video abstraction; surveillance video; video indexing; video retrieval; video indexing and retrieval;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Many researches have been conducted on video abstraction for quick viewing of video archives, however there is a lack of approach that considers abstraction as a pre-processing stage in video analysis. This paper aims to investigate the efficiency of integrating video abstraction in surveillance video indexing and retrieval framework. The basic idea is to reduce the computational complexity and cost of overall processes by using the abstract version of the original video that excludes unnecessary and redundant information. The experimental results show a significant reduction of 87% in computational cost by using the abstract video rather than the original video in both indexing and retrieval processes.
引用
收藏
页码：374 / 378
页数：5
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