Semantic indexing of multimedia documents

被引：51
|
作者：
Leonardi, R [1 ]
Migliorati, P [1 ]
机构：
[1] Univ Brescia, Dept Electr Automat, I-25123 Brescia, Italy
来源：
IEEE MULTIMEDIA | 2002年 / 9卷 / 02期
关键词：
D O I：
10.1109/93.998057
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose two approaches for semantic indexing of audio-visual documents, based on bottom-up and top-down strategies. We base the first approach on a finite-state machine using low-level motion indices extracted from an MPEG compressed bitstream. The second approach innovatively performs semantic indexing through Hidden Markov Models.
引用
收藏
页码：44 / 51
页数：8
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