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
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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