High-performance image annotation and retrieval for weakly labeled images using latent space learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5353 LNCS, Issue , 2008, Pages 601-610

  Nakayama, Hideki ^a   Harada, Tatsuya ^a   Kuniyoshi, Yasuo ^a   Otsu, Nobuyuki ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Higher order local auto correlation feature; Image annotation retrieval; Probabilistic canonical correlation analysis

Indexed keywords

CANONICAL CORRELATION ANALYSIS; GENERIC NATURE; HIGHER ORDER; HIGHER-ORDER LOCAL AUTO-CORRELATION FEATURE; IMAGE ANNOTATION; IMAGE ANNOTATION/RETRIEVAL; INTERNET SEARCHES; INTRINSIC FEATURES; LABELED IMAGES; LOCAL AUTO-CORRELATION; PROBABILISTIC CANONICAL CORRELATION ANALYSIS; RETRIEVAL METHODS; TARGET IMAGES;

DATA PROCESSING; IMAGE ANALYSIS; INFORMATION RETRIEVAL; MULTIMEDIA SYSTEMS; PULSE CODE MODULATION; SEARCH ENGINES;

CORRELATION METHODS;

EID: 70350676389     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89796-5_62     Document Type: Conference Paper

References (10)

1. Duygulu, P., Barnard, K., Freitas, D.F.N.: Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In: Proc. European Conf. Computer Vision, pp. 349-354 (2002)
2. Jeon, J., Lavrenko, V., Manmatha, R.: Automatic image annotation and retrieval using cross-media relevance models. In: Proc. ACM SIGIR Conf., pp. 119-126 (2003)
3. Lavrenko, V., Manmatha, R., Jeon, J.: A model for learning the semantics of pictures. In: Advances in Neural Information Processing Systems (2003)
4. Mori, Y., Takahashi, H., Oka, R.: Image-to-word transformation based on dividing and vector quantizing images with words. In:MISRM1999 First InternationalWorkshop on Multimedia Intelligent Storage and Retrieval Management (1999)
5. Feng, S., Manmatha, R., Lavrenko, V.: Multiple bernoulli relevance models for image and video annotation. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 1002-1009 (2004)
6. Carneiro, G., Chan, A.B., Moreno, P.J., Vasconcelos, N.: Supervised learning of semantic classes for image annotation and retrieval. IEEE Trans. Pattern Analysis and Machine Intelligence 29(3), 394-410 (2007)
7. Carneiro, G., Vasconcelos, N.: Formulating semantic image annotation as a supervised learning problem. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 163-168 (2005)
8. Bach, F.R., Jordan, M.I.: A probabilistic interpretation of canonical correlation analysis. Technical Report 688, Department of Statistics, University of California, Berkeley (2005)
9. Kato, T., Kurita, T., Otsu, N., Hirata, K.: A sketch retrieval method for full color image database -query by visual example-. In: Proc. of 11th International Conference on Pattern Recognition, vol. 2, pp. 213-216 (1992)
10. Otsu, N., Kurita, T.: A new scheme for practical, flexible and intelligent vision systems. In: Proc. IAPR Workshop on Computer Vision (1988)