Series feature aggregation for content-based image retrieval

Computers and Electrical Engineering

Volumn 36, Issue 4, 2010, Pages 691-701

  Zhang, Jun ^a   Ye, Lei ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

Aggregation topology; Content based image retrieval; Feature fusion; Series feature aggregation

Indexed keywords

AGGREGATION TOPOLOGY; CONTENT BASED IMAGE RETRIEVAL; CRITICAL TECHNIQUE; FEATURE AGGREGATION; FEATURE FUSION; IMAGE COLLECTIONS; IMAGE CONTENT; LINEAR COMBINATIONS; PHOTOGRAPHIC IMAGE; RETRIEVAL PERFORMANCE; RETRIEVED IMAGES; VISUAL FEATURE;

IMAGE FUSION; IMAGE PROCESSING; INFORMATION RETRIEVAL; PHOTOGRAPHY; TOPOLOGY;

CONTENT BASED RETRIEVAL;

EID: 77955717777     PISSN: 00457906     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compeleceng.2008.11.001     Document Type: Article

References (13)

1. B.S. Manjunath, J.R. Ohm, V.V. Vasudevan, and A. Yamada Color and texture descriptors IEEE Trans Circuits Syst Video Technol 11 6 2001 703 715
2. A.W.M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain Content-based image retrieval at the end of the early years IEEE Trans Pattern Anal Machine Intell 22 12 2000 1349 1380
3. Snoek CGM, Worring M, Smeulders AWM. Early versus late fusion in semantic video analysis. In: Proceedings of the ACM international conference on multimedia, Hilton, Singapore, November 2005. p. 399-402.
4. Wu Y, Chang EY, Chang KC-C, Smith JR. Optimal multimodal fusion for multimedia data analysis. In: Proceedings of the 12th annual ACM international conference on multimedia, New York, NY, USA, 2004. p. 572-9. (Pubitemid 40211831)
5. Y. Rui, T.S. Huang, M. Ortega, and S. Mehrotra Relevance feedback: a power tool for interactive content-based image retrieval IEEE Trans Circuits Syst Video Technol 8 5 1998 644 655 (Pubitemid 128743730)
6. I.J. Cox, M.L. Miller, T.P. Minka, T.V. Papathomas, and P.N. Yianilos The Bayesian image retrieval system, pichunter: theory, implementation, and psychophysical experiments IEEE Trans Image Process 9 1 2000 20 37
7. J. Shih, and L. Chen A context-based approach for color image retrieval Int J Pattern Recogn Artif Intell 16 2 2002 239 255
8. Aksoy S, Haralick R, Cheikh F, Gabbouj M. A weighted distance approach to relevance feedback. In: Proceedings of the international conference on pattern recognition, vol. 4; 2000. p. 870-6.
9. M. Ortega, Y. Rui, K. Chakrabarti, K. Porkaew, S. Mehrotra, and T. Huang Supporting ranked boolean similarity queries in mars IEEE Trans Knowledge Data Eng 10 6 1998 909 925
10. C. Carson, S. Belongie, H. Greenspan, and J. Malik Blobworld: image segmentation using expectation-maximization and its applications to image querying IEEE Trans Pattern Anal Mach Intell 24 8 2002 1026 1038
11. A. Kushki, P. Androutsos, K.N. Plataniotis, and A.N. Venetsanopoulos Retrieval of images from artistic repositories using a decision fusion framework IEEE Trans Image Process 13 3 2004 277 292
12. Donald KM, Smeaton AF. A comparison of score, rank and probability-based fusion methods for video shot retrieval. In: Proceedings of the IEEE international conference on image and video retrieval, Singapore, July 2005. p. 61-70.
13. Grubinger M, Clough P, Mnller H, Deselaers T. The IAPR TC-12 benchmark: a new evaluation resource for visual information systems. In: Proceedings of the international workshop OntoImage'2006 language resources for content-based image retrieval, held in conjuction with LREC'06, Genoa, Italy, May 2006. p. 13-23.