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
         
        
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICICISYS.2009.5357738