A method for classification of scenery documentary using MPEG-7 edge histogram descriptor

被引：2

作者：

Cao, JR ^{[1
]}

Cai, A ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China

来源：

Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology | 2005年

关键词：

D O I：

10.1109/IWVDVT.2005.1504562

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A double-threshold method is proposed to classify the scenery documentary using MPEG-7 edge histogram descriptor (EHD). The segments of a scenery documentary are classified into two categories, building and natural scenery clips, by global EHD of shot keyframes with the double-threshold method. Thus the basic semantic of shot can be extracted that describes the building or scenery. Furthermore the precision of EHD computing has been improved by enhancement and smoothing of the pictures and the results of classification are modified under the time constraint on shot keyframes. The experiments indicate that the accuracy of classification exceeds 90%.

引用

页码：105 / 108

页数：4

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