Large-scale Image/Videos' Automatic Annotation and Retrieval Based on the Distributed Users

被引：0
|
作者：
Guo, Feng [1 ]
Dai, Ying [2 ]
Li, Shaozi [1 ]
机构：
[1] Xiamen Univ, Dept Cognit Sci, Xiamen, Peoples R China
[2] Iwate Pref Univ, Fac Software & Info Sci, Iwate, Japan
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 4 | 2009年
关键词：
image/videos annotation; distributed network; multi-category retrieval; associative value; performance evaluation;
D O I：
10.1109/ICICISYS.2009.5357738
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a mechanism of large-scale image/videos (I/Vs) automatic annotation and retrieval based on the distributed users is proposed, and a prototype system on the basis of it is implemented by the .net framework. Furthermore, the algorithm of annotating the meanings of I/Vs by their associative values with predefined categories, and the method of implementing the system is described. Experiment results regarding the evaluation that users can find their expecting I/Vs show that the proposed approach is effective and efficient for annotating and retrieving large I/Vs.
引用
收藏
页码：48 / +
页数：2
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