Advances in Multimedia Information Processing -- PCM 2010, by Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue,

By Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew

This ebook constitutes the court cases of the eleventh Pacific Rim convention on Advances in Multimedia info Processing, held in Shanghai in September 2010.

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Extra info for Advances in Multimedia Information Processing -- PCM 2010, Part II: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010 Proceedings

Example text

0 data were transformed to a 200-dimension reduced space using these methods. Table 2. shows the correct rate on above two datasets, respectively. As can be seen in the results, CUR outperforms other methods in the correct rate of classify significantly, followed by auto-encoder which also achieved a relatively high correct rate. To evaluate the relationship between the dimension reduced and the classification accuracy, we also conducted experiments to reduce the feature vector into different dimension and compare results.

According to the literature of information retrieval, there are two widely accepted and yet independent ways to construct query: – Query based on Text: Many of the existing search engines apply the text based description to annotate multimedia object. In these applications, short annotation or text labels are used for interpreting or indexing the multimedia objects in the databases. Thus, final performance for those schemes heavily depends on the effectiveness of text searching and tagging capability.

In: Proc. of the ACM SIGCOMM 2009 Conference on Data Communication, pp. 135–146 (2009) 8. : Using collaborative filtering to weave an information tapestry. Communications of the ACM 35(12), 61–70 (1992) 9. : The Pyramid-Technique: Towards Breaking the Curse of Dimensionality. In: Proc. of ACM SIGMOD Conference, pp. 142–153 (1998) 10. : A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces. In: Proc. of the 24rd International Conference on Very Large Data Bases, pp.

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