Video retrieval by feature learning in key frames

被引：0

作者：

Pickering, MJ

Rüger, SM

Sinclair, D

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Comp Technol & Med, London SW7 2BZ, England

[2] AT&T Labs Cambridge, Cambridge CB2 1QA, England

来源：

IMAGE AND VIDEO RETRIEVAL | 2002年 / 2383卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We evaluate the application of feature-vector based image retrieval methods to the problem of video retrieval. A vast number of primitive features is. calculated for each of the key frames generated by a segmentation process, and we examine the use of three methods for retrieving video segments using the features - a vector space model, a learning method using the AdaBoost algorithm, and a k-nearest neighbour approach.

引用

页码：309 / 317

页数：9

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