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http://dx.doi.org/10.9717/kmms.2011.14.8.1050

Efficient Storage and Retrieval for Automatic Indexing of Persons in Videos  

Kim, Jin-Seung (경희대학교 컴퓨터공학과)
Han, Yong-Koo (경희대학교 컴퓨터공학과)
Lee, Young-Koo (경희대학교 컴퓨터공학과)
Publication Information
Abstract
With increasing need for indexing of persons in a large video database, automatic indexing has been attracting great interest which takes advantage of automatic tagging instead of the time-consuming and costly manual tagging. However, automatic indexing approach should provide a degree of recognition proximity because it cannot identify the persons with accuracy of 100%. In this paper, we propose an efficient storage method for storing posting lists efficiently and a novel ranking technique of ordering relevant videos for efficient retrieval. Through experiment evaluations we have shown that our storage method exhibits good performance in compressing the posting list. We have also shown that the proposed ranking method is effective for finding relevant videos.
Keywords
Video Indexing; Frame Based Indexing; Face Indexing on Video; Archiving Management System;
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Times Cited By KSCI : 1  (Citation Analysis)
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