Semantic indexing of multimedia documents

被引：52

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 [计算机科学与技术];

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

页码：44 / 51

页数：8

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