ADAM - A database and information retrieval system for big multimedia collections

Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014

Volumn , Issue , 2014, Pages 406-413

  Giangreco, Ivan ^a   Al Kabary, Ihab ^a   Schuldt, Heiko ^a  

^a UNIVERSITY OF BASEL   (Switzerland)

Author keywords

Big Multimedia; Boolean retrieval; databases; multimedia; similarity search

Indexed keywords

BIG DATA; CONTENT BASED RETRIEVAL; DATABASE SYSTEMS; DRAWING (GRAPHICS); IMAGE RECORDING; QUERY PROCESSING;

BIG MULTIMEDIA; BOOLEAN RETRIEVAL; CONTENT BASED IMAGE RETRIEVAL; CONTENT-BASED MULTIMEDIA RETRIEVAL; MULTIMEDIA; MULTIMEDIA COLLECTIONS; SIMILARITY SEARCH; SIMILARITY-BASED RETRIEVALS;

SEARCH ENGINES;

EID: 84923867173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.Congress.2014.66     Document Type: Conference Paper

References (18)

1. E. L. Wimmers and M. J. Carey, "Towards Heterogeneous Multimedia Information Systems: The Garlic Approach, " in Proc. 1995 Research Issues in Data Engineering, Taipei, 1995, pp. 124-131.
2. V. E. Ogle and M. C. Stonebraker, "Chabot: Retrieval from a Relational Database of Images, " Computer, vol. 28, no. 9, pp. 40-48, 1995.
3. A. P. de Vries, "Content and Multimedia Database Management Syst ems," Ph.D. dissertation, Centre for Telematics and Information Technology, Univ. of Twente, 1999.
4. V. Oria, M. T. Oezsu, and P. Iglinski, "Querying Images in the DISIMA DBMS, " in Proc. 2001 Multime dia Information Systems, Capri, 2001, pp. 89-98.
5. C. E. Alvez and A. R. Vecchietti, "Combining Semantic and Content Based Image Retrieval in ORDBMS, " in Proc. 2010 Knowledge-based and Intelligent Information and Engineering Systems, Cardiff, 2010, pp. 43-55.
6. D. Moise et al., "Terabyte-scale Image Similarity Search: Experience and Best Practice, " in Proc. 2013 IEEE Big Data, Santa Clara, 2013, pp. 674-682.
7. A. Guttman, "R-Trees: A Dynamic Index Structure for Spatial Searching, " in Proc. 1984 ACM SIGMOD Int. Conf. Management of Dat a, Boston, 1984, pp. 47-57.
8. P. Ciaccia, M. Patella, and P. Zezula, "M-tree: An Efficient Access Method for Similarity Search in Metric Spaces, " in Proc. 1997 Very Large Data Bases, Athens, 1997, pp. 426-435.
9. S. Berchtold, D. A. Keim, and H.-P. Kriegel, "The X-Tree: An Index Structure for High-Dimensional Data, " in Proc. 1997 Very Large Data Bases, Mumbai, 1997, pp. 28-39.
10. R. Weber, H.-J. Schek, and S. Blott, " A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces," in Proc. 1998 Very Large Data Bases, New York, 1998, pp. 194-205.
11. C. C. Aggarwal and P. S. Yu, " The iGrid Index: Reversing the Dimensionality Curse for Similarity Indexing in High Dimensional Space," in Proc. 2000 ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining, Boston, 2000, pp. 119-129.
12. C. Calistru, C. Ribeiro, and G. David, "Multidimensional Descriptor Indexing: Exploring the BitMatrix," in Proc. 2006 Int. Conf. Image and Video Retrieval, Tempe, 2006, pp. 401-410.
13. K. Böhm et al., " Fast Evaluation Techniques for Complex Similarity Queries," in Proc. 2001 Very Large Data Bases, Roma, pp. 211-220.
14. D. G. Lowe, "Object Recognition from Local Scale-Invariant Features, " in Proc. 1999 IEEE Int. Conf. Computer Vision, Kerkyra, 1999, pp. 1150-1157.
15. W. Meng, C. Yu, and K.-L. Liu, "Building Efficient and Effective Metasearch Engines, " ACM Computing Surveys, vol. 34, no. 1, pp. 48-89, 2002.
16. J. Dean and S. Ghemawat, "MapReduce: A Flexible Data Processing Tool, " Communications of the ACM, vol. 53, no. 1, pp. 72-77, Jan. 2010.
17. A. Chalechale, A. Mertins, and G. Naghdy, "Edge Image Description usi ng Angular Radial Partitioning," in Vision, Image and Signal Processing, vol. 151, no. 2, pp. 93-101, 2004.
18. J. Deng et al., "ImageNet: A Large-Scale Hierarchical Image Database, " in Proc. 2009 IEEE Conf. Computer Vision and Pattern Recongition, Miami, pp. 248-255.