By Yang Liu, Jian Shao (auth.), Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew (eds.)
The 2010 Pacific-Rim convention on Multimedia (PCM 2010) used to be held in Shanghai at Fudan collage, in the course of September 21–24, 2010. in view that its inauguration in 2000, PCM has been held in a number of locations round the Pacific Rim, specifically Sydney (PCM 2000), Beijing (PCM 2001), Hsinchu (PCM 2002), Singapore (PCM 2003), Tokyo (PCM 2004), Jeju (PCM 2005), Zhejiang (PCM 2006), Hong Kong (PCM 2007), Tainan (PCM 2008), and Bangkok (PCM 2009). PCM is an important annual foreign convention equipped as a discussion board for the dissemination of state of the art technological advances and examine ends up in the fields of theoretical, experimental, and utilized multimedia research and processing. PCM 2010 featured a complete technical application which integrated seventy five oral and fifty six poster shows chosen from 261 submissions from Australia, Canada, China, France, Germany, Hong Kong, India, Iran, Italy, Japan, Korea, Myanmar, Norway, Singapore, Taiwan, Thailand, the united kingdom, and the us. 3 extraordinary researchers, Prof. Zhi-Hua Zhou from Nanjing collage, Dr. Yong Rui from Microsoft, and Dr. Tie-Yan Liu from Microsoft learn Asia added 3 keynote talks to the convention. we're very thankful to the various those who helped to make this convention a s- cess. we want to particularly thank Hong Lu for neighborhood association, Qi Zhang for dealing with the e-book of the complaints, and Cheng Jin for taking care of the c- ference web site and exposure. We thank Fei Wu for organizing the exact consultation on large-scale multimedia seek within the social community settings.
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Extra resources for Advances in Multimedia Information Processing - PCM 2010: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 2010, Proceedings, Part II
229–237. ACM, New York (1995) 15. : LASSO-Patternsearch algorithm with application to ophthalmology and genomic data. Statistics and its Interface 1(1), 137 (2008) 16. : Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological) 58(1), 267–288 (1996) 17. : Simultaneous image classiﬁcation and annotation (2009) 18. : Multi-label sparse coding for automatic image annotation (2009) 19. : MSRA-MM: Bridging Research and Industrial Societies for Multimedia Information Retrieval.
In Section 4, we mainly focus on CF based recommendation systems and give a comprehensive discussion about open problems and possible methods for solving those problem. In Section 5, the article is concluded with summarization and future work. 2 Query Formulation During information search session, user’s information needs can be expressed using different queries. Thus, development of query formulation and modeling scheme is of great important to determine performance of search engines. 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.
This process was repeated for ﬁve times to generate ﬁve random training/test partitions. For each partition, we obtained the performance of image annotation. The average performances and standard deviations are reported in this paper. 2 Evaluation Metrics The area under the Receiver operating characteristics(ROC) curve (AUC) and F1 score (harmonic mean of precision and recall) are used as the performance evaluation . To measure the global performance across multiple labels, according to  we use the microaveraging method.