Parsed and fixed block representations of visual information for image retrieval

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7240, Issue , 2009, Pages

  Bae, Soo Hyun ^a   Juang, Biing Hwang ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Feature extraction; Image retrieval; Incremental parsing; Latent semantic analysis; Lempel Ziv; Vector quantization

Indexed keywords

AUTOMATED PROCESSING; BLOCK REPRESENTATIONS; COMPARATIVE STUDIES; EFFECTIVE ANALYSIS; FIXED BLOCKS; HIERARCHICAL STRUCTURES; IMAGE RETRIEVAL SYSTEMS; INCREMENTAL PARSING; LATENT SEMANTIC ANALYSIS; LEMPEL-ZIV; LINGUISTIC EXPRESSIONS; LINGUISTIC PARSING; NEW CLASS; PERCEPTUAL DISTORTIONS; PERCEPTUAL THRESHOLDS; SEMANTIC CONCEPTS; SOURCE CHARACTERIZATIONS; SPOKEN LANGUAGES; TWO-DIMENSIONAL; VISUAL INFORMATIONS; VISUAL PATTERN MATCHING; VISUAL PATTERNS;

FEATURE EXTRACTION; IMAGE COMPRESSION; IMAGE RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; LINGUISTICS; PATTERN MATCHING; SEMANTICS; VECTORS; VISUAL COMMUNICATION;

VECTOR QUANTIZATION;

EID: 63549107587     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811572     Document Type: Conference Paper

References (25)

1. 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, pp. 1349-1380, Dec. 2000.
2. S. H. Bae and B.-H. Juang, "Incremental parsing for latent semantic indexing of images," in Proc. IEEE Conf. Image Processing, pp. 925-928, (San Diego, CA), Oct. 2008.
3. J. Z. Wang, J. Li, and G. Wiederhold, "SIMPLIcity: Semantics-sensitive integrated matching for picture libraries," IEEE Trans. Pattern Anal. Machine Intell. 23, pp. 947-963, Sept. 2001.
4. T. N. Pappas, J. Chen, and D. Depalov, "Perceptually based techniques for image segmentation and semantic classification," IEEE Commun. Mag. 45, pp. 44-51, Jan. 2007.
5. A. H. Daptardar and J. A. Storer, "Reduced complexity content-based image retrieval using vector quantization," in Proceedings DCC 2006. Data Compression Conference, pp. 342-351, Mar. 2006.
6. C.-H. Yeh and C.-J. Kuo, "Content-based image retrieval through compressed indices based on vector quantized images," Optical Engineering 45, pp. 43-50, Jan. 2006.
7. F. Idris and S. Panchanathan, "Image and video indexing using vector quantization," Mach. Vision. Appl. 10, pp. 43-50, Nov. 1997.
8. L. Fei-Fei and P. Perona, "A bayesian hierarchical model for learning natural scene categories," in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2, pp. 524-531, (San Diego, CA), June 2005.
9. S. H. Bae and B.-H. Juang, "Two dimensional incremental parsing for image compression," in Proc. European Signal Processing Conf., pp. 653-657, (Poznań, Poland), Sept. 2007.
10. S. H. Bae and B.-H. Juang, "Multidimensional incremental parsing for universal source coding," IEEE Trans. on Image Proc. 17, pp. 1837-1848, Oct. 2008.
11. J. Ziv and A. Lempel, "Compression of individual sequences via variable rate coding," IEEE Trans. Inform. Theory IT-24, pp. 530-536, Sept. 1978.
12. F. Monay and D. Gatica-Perez, "Modeling semantic aspects for cross-media image indexing," IEEE Trans. Pattern Anal. Machine Intell. 29, pp. 1802-1817, Oct. 2007.
13. G. Carneiro, A. B. Chan, P. J. Moreno, and N. Vasconcelos, "Supervised learning of semantic classes for image annotation and retrieval," IEEE Trans. Pattern Anal. Machine Intell. 29, pp. 394-410, Mar. 2007.
14. R. Zhang and Z. Zhang, "Effective image retrieval based on hidden concepts discovery in image database," IEEE Trans. Image Processing 16, pp. 562-572, Feb. 2007.
15. T. Hofmann, "Unsupervised learning by probabilistic latent semantic analysis," Machine Learning 42, pp. 177-196, Jan. 2001.
16. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression, Kluwer Academic Publishers, Boston, 1992.
17. J. Ziv and A. Lempel, "A universal algorithm for sequential data compression," IEEE Trans. Inform. Theory IT-23, pp. 337-343, May. 1977.
18. X. K. Yang, W. S. Ling, Z. K. Lu, E. P. Ong, and S. S. Yao, "Just noticeable distortion model and its applications in video coding," Signal Process. Image Commun. 20, pp. 662-680, Aug. 2005.
19. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Hershman, "Indexing by latent semantic analysis," J. Am. Soc. Inf. Sci. 41, pp. 391-407, Sept. 1990.
20. S. T. Dumais, "Latent semantic indexing (LSI) and TREC-2," in Proc. 2nd Text Retrieval Conf. (TREC-2), pp. 229-236, 1994.
21. G. H. Golub and C. F. V. Loan, Matrix Computations, The Johns Hopkins University Press, third ed., 1996.
22. J. R. Bellegarda, "Exploiting latent semantic information in statistical language modeling," Proceedings of the IEEE 88, pp. 1279-1296, Aug. 2000.
23. H. Müller, S. Marchand-Maillet, and T. Pun, "The truth about Corel - evaluation in image retrieval," in Proc. Int. Conf. Image and Video Retrieval (CIVR), pp. 38-49, (London, UK), July 2002.
24. D. Depalov, T. N. Pappas, D. Li, and B. Gandhi, "Perceptually based techniques for semantic image classification," Submitted to IEEE Trans. Image Processing.
25. Y. Linde, A. Buzo, and R. M. Gray, "An algorithm for vector quantizer design," IEEE Trans. Commun. 28, pp. 84-95, Jan. 1980.