A scalable approach for content based image retrieval in cloud datacenter

Information Systems Frontiers

Volumn 16, Issue 1, 2014, Pages 129-141

  Liao, Jianxin ^a   Yang, Di ^a   Li, Tonghong ^b   Wang, Jingyu ^a   Qi, Qi ^a   Zhu, Xiaomin ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Cloud computing; Content based image retrieval; Locality sensitive hashing; Peer to peer; Relevance feedback

Indexed keywords

CLOUD COMPUTING; CONTENT BASED RETRIEVAL; SEMANTICS;

CONTENT BASED IMAGE RETRIEVAL; DISTRIBUTED ENVIRONMENTS; DISTRIBUTED HASH TABLES; DISTRIBUTED SYSTEMS; LOCALITY SENSITIVE HASHING; PEER TO PEER; RELEVANCE FEEDBACK; RETRIEVAL FRAMEWORKS;

SEARCH ENGINES;

EID: 84897983636     PISSN: 13873326     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10796-013-9467-0     Document Type: Article

References (33)

1. Androutsos, P.; Androutsos, D.; & Venetsanopoulos, A. N. (2006). A distributed fault-tolerant MPEG-7 retrieval scheme based on small world theory. IEEE Transactions on Multimedia, 8(2), 278-288.
2. Bawa M.; Manku G.; & Raghavan P. (2003). SETS: search enhanced by topic segmentation. Proceedings of the 26th Annual International ACM SIGIR Conference (SIGIR'03), Toronto, Canada, 306-313.
3. Chen, J.; Hu, C.; & Su, C. (2008). Scalable Retrieval and Mining With Optimal Peer-to-Peer Configuration. IEEE Transactions on Multimedia, 10(2), 209-220.
4. Crespo A.; & Garcia-Molina H. (2002). Routing indices for peer-to-peer systems. Proceedings of the 22nd IEEE International Conference on Distributed Computing Systems (ICDCS'02), Vienna, Austria, 23-32.
5. Datar M.; Immorlica N.; Indyk P.; & Mirrokni V. S. (2004). Locality-sensitive hashing scheme based on p-stable distributions. Proceedings of the 20th Annual Symposium on Computational Geometry (SoCG'04), New York, USA, 253-262.
6. Datta R.; Joshi D.; Li J.; & Wang J. Z. (2008). Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys, 40(2), Article 5.
7. Demirkan H.; & Delen D. (2012). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems.
8. Dikaiakos, M. D.; Katsaros, D.; Mehra, P.; Pallis, G.; & Vakali, A. (2009). Cloud computing: Distributed Internet Computing for IT and Scientific Research. IEEE Internet Computing, 13(5), 10-13.
9. Falchi F.; Gennaro C.; & Zezula P. (2005). A content-addressable network for similarity search in metric spaces. Proceedings of the 6th International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P'05), Toronto, Canada, 79-92.
10. Forestiero, A.; Leonardi, E.; Mastroianni, C.; & Meo, M. (2010). Self-Chord: A Bio-Inspired P2P Framework for Self-Organizing Distributed Systems. IEEE/ACM Transaction on Networking, 18(5), 1651-1664.
11. Gaeta, R.; & Sereno, M. (2011). Generalized Probabilistic Flooding in Unstructured Peer-to-Peer Networks. IEEE Transaction on Parallel Distributed System, 22(12), 2055-2062.
12. Gnutella. (2000). Gnutella website. http://www.Gnutella.com
13. Haghani, P.; Michel, S.; & Aberer K. (2009). Distributed similarity search in high dimensions using locality sensitive hashing. Proceedings of the 12th International Conference on Extending Database Technology (EDBT'09), Saint Petersburg, Russia, 744-755.
14. Indyk P.; & Motwani R. (1998). Approximate nearest neighbors: towards removing the curse of dimensionality. Proceedings of the 13th ACM Symposium on Theory of computing (STOC'98), Dallas, Texas, 604-613.
15. Kalnis, P.; Ng, W. S.; Ooi, B. C.; & Tan, K. (2004). Answering similarity queries in peer-to-peer networks. Information Systems, 31(1), 57-72.
16. King, I.; Ng, C. H.; & Sia, K. C. (2004). Distributed content-based visual information retrieval system on peer-to-peer networks. ACM Transaction on Information Systems, 22(3), 477-501.
17. Lee I.; & Guan L. (2004). Semi-automated relevance feedback for distributed content based image retrieval. The 2004 I.E. International Conference on Multimedia and Expo (ICME'04), Taipei, Taiwan, 1871-1874.
18. Li, F.; Fergus, R.; & Perona, P. (2007). Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. Computer Vision and Image Understanding, 106(1), 59-70.
19. Liao, J.; Wang, J.; Wu, B.; & Wu, W. (2012). Toward a Multi-plane Framework of NGSON: a Required Guideline to Achieve Pervasive Services and Efficient Resource Utilization. IEEE Communications Magazine, 50(1), 90-97.
20. Liu, G.; Zhang, L.; Hon, Y.; Li, Z.; & Yang, J. (2010). Image retrieval based on multi-texton histogram. Pattern Recognition, 43(7), 2380-2389.
21. Lv Q.; Cao P.; Cohen E.; Li K. & Shenker S. (2002). Search and replication in unstructured peer-to-peer networks. Proceedings of the 16th ACM Annual International Conference on Supercomputing (ICS'02), New York, USA, 84-95.
22. Novak D.;& Zezula P. (2006). M-Chord: a scalable distributed similarity search structure. Proceedings of the First International Conference on Scalable Information System (INFOSCALE' 06), Hong Kong, China, Article 19.
23. Peng C.; Kim M.; Zhang Z.; & Lei H. (2012). VDN: Virtual machine image distribution network for cloud data centers. IEEE International Conference on Computer Communications (INFOCOM'12), Orlando, Florida, 181-189.
24. Sahin O.D.; Gulbeden A.; Emekci F.; Agrawal D.; & Abbadi A.E. (2005). PRISM: Indexing multi-dimensional data in p2p networks using reference vectors. Proceedings of the 13rd Annual ACM International Conference on Multimedia, ACM Multimedia (MM'05), Singapore, 946-955.
25. Sripanidkulchai K.; Maggs B.M.; & Zhang H. (2003). Efficient Content Location Using Interest-Based Locality in Peer-to-Peer Systems. Proceedings of the 22nd Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM'03), San, Francisco.
26. Stoica I.; Morris R.; Karger D.; Kaashoek M.F.;& Balakrishnan H. (2001). Chord: A scalable peer-to-peer lookup service for internet applications. The 2001 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM'01), San Diego, USA, 149-160.
27. Tang C.; Xu Z.; & Dwarkadas S. (2003). Peer-to-peer information retrieval using self-organizing semantic overlay networks. The 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM'03), Karlsruhe, Germany, 175-186.
28. Vlachou, A.; Doulkeridis, C.; & Kotidis, Y. (2012). Metric-Based Similarity Search in Unstructured Peer-to-Peer Systems. Transactions on Large-Scale Data-and Knowledge-Centered Systems, 5, 28-48.
29. Yang Z.; Zhao B. Y.; Xing Y.; et al. (2010). AmazingStore: Available, low-cost online storage service using cloudlets. Proceedings of the 9th International Workshops on Peer-to-Peer Systems (IPTPS'10), San Jose, USA, 1-5.
30. Zhang L.; Wang Z.; & Feng D. (2010a). Efficient high-dimensional retrieval in structured P2P networks. The 2010 I.E. International Conference on Multimedia and Expo (ICME'10), Singapore, 1439-1444.
31. Zhang X.; Shou L.; Tan K.; & Chen G. (2010b). iDISQUE: Tuning High-Dimensional Similarity Queries in DHT Networks. Proceedings of the 15th International Conference on Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, 19-33.
32. Zhou, X. S.; & Huang, T. S. (2003). Relevance feed-back in image retrieval: A comprehensive review. Multi-media Systems, 8(6), 536-544.
33. Zhu, Y.; & Hu, Y. (2007). Efficient semantic search on DHT overlays. Journal of Parallel and Distributed Computing, 67(5), 604-616.