The E-Recall environment for cloud based mobile rich media data management

MCMC'10 - Proceedings of the 2010 ACM Workshop on Mobile Cloud Media Computing, Co-located with ACM Multimedia 2010

Volumn , Issue , 2010, Pages 31-34

  Shen, Jialie ^a   Yan, Shuicheng ^b   Hua, Xian Sheng ^c  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

Classification; Cloud computing; Data management; Evaluation; Information retrieval; Personalization; Rich media

Indexed keywords

CLASSIFICATION; CLOUD COMPUTING; DATA MANAGEMENT; EVALUATION; PERSONALIZATIONS; RICH MEDIAS;

COMPUTER SYSTEMS; DIGITAL DEVICES; INDUSTRIAL RESEARCH; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; QUERY PROCESSING; WIRELESS TELECOMMUNICATION SYSTEMS;

DATA HANDLING;

EID: 78650497350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1877953.1877963     Document Type: Conference Paper

References (17)

1. A. Andoni and P. Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Commun. ACM, 51(1):117-122, 2008.
2. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. A. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. Above the clouds: A berkeley view of cloud computing, Feb 2009.
3. Z. Cheng and J. Shen. Large scale rich media information search: Challenges and opportunities. In Proc. of The 2010 Pacific-Rim Conference on Multimedia (PCM'10),, 2010.
4. F. Crestani, M. Lalmas, C. J. van Rijsbergen, and I. Campbell. "is this document relevant? probably": A survey of probabilistic models in information retrieval. ACM Comput. Surv., 30(4):528-552, 1998.
5. J. Dean and S. Ghemawat. Mapreduce: a flexible data processing tool. Commun. ACM, 53(1):72-77, 2010.
6. M. Hepp. Possible ontologies: How reality constrains the development of relevant ontologies. IEEE Internet Computing, 11(1):90-96, 2007.
7. M. Hepp. Ontologies: State of the art, business potential, and grand challenges. In Ontology Management, pages 3-22. 2008.
8. M. Hepp, K. Siorpaes, and D. Bachlechner. Harvesting wiki consensus: Using wikipedia entries as vocabulary for knowledge management. IEEE Internet Computing, 11(5):54-65, 2007.
9. L. Kennedy, S.-F. Chang, and A. Natsev. Query-adaptive fusion for multimodal search. Proc. of the IEEE, 96(4), 2008.
10. L. S. Kennedy, A. Natsev, and S.-F. Chang. Automatic discovery of query-class-dependent models for multimodal search. In ACM Multimedia, pages 882-891, 2005.
11. W. Meng, C. T. Yu, and K. Liu. Building efficient and effective metasearch engines. ACM Comput. Surv., 34(1):48-89, 2002.
12. S. Ratnasamy, P. Francis, M. Handley, R. Karp, and S. Shenker. A scalable content-addressable network. In SIGCOMM'01: Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications, pages 161-172, 2001.
13. J. Shaw and E. A. Fox. Combination of multiple searches. In TREC'94: Proceedings of the 2nd Text REtrieval Conference, 1994.
14. J. Wang, S. Wu, H. Gao, J. Li, and B. C. Ooi. Indexing multi-dimensional data in a cloud system. In SIGMOD'10: Proceedings of the 2010 international conference on Management of data, pages 591-602, 2010.
15. X. Xie, L. Lu, M. Jia, H. Li, F. Seide, and W.-Y. Ma. Mobile search with multimodal queries. Proc. of the IEEE, 96(4):589-601, 2008.
16. R. Yan, J. Yang, and A. G. Hauptmann. Learning query-class dependent weights in automatic video retrieval. In ACM Multimedia'04, 2004.
17. J. Zobel and A. Moffat. Inverted files for text search engines. ACM Comput. Surv., 38(2), 2006.