DocumentCode :
2728203
Title :
Large-scale image/videos´ automatic annotation and retrieval based on the distributed users
Author :
Guo, Feng ; Li, Shaozi ; Dai, Ying
Author_Institution :
Cognitive Sci. Dept., Xiamen Univ., Xiamen, China
Volume :
4
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
48
Lastpage :
52
Abstract :
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.
Keywords :
network operating systems; user interfaces; video retrieval; .net framework; distributed users; image automatic annotation; image retrieval; video automatic annotation; video retrieval; Associative memory; Cognitive science; Humans; Image color analysis; Image retrieval; Large-scale systems; Magnesium compounds; Prototypes; Software prototyping; Videos; associative value; distributed network; image/videos annotation; multi-category retrieval; performance evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5357738
Filename :
5357738
Link To Document :
بازگشت