Abstract
In this paper, we investigate the effect of using several color and texture features in query expansion. We assume that the initial queries are text-based and are matched against the text annotations. The system performs a two-pass retrieval by expanding the initial query using text and image features from the initial retrieved set, assuming that it contains more relevant images than non-relevant ones. We performed extensive experiments using 1019 color pictures with captions, relevance judgments and queries supplied by a national archives agency.
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References
G. Salton, Automatic Text Processing, Addison-Wesley, 1989.
A.F. Smeaton and I. Quigley, “Experiments on Using Semantic Distances Between Words in Image Caption Retrieval,” Proc. 19th. ACM SIGIR Conf. on R&D in Information Retrieval, Zurich, pp. 174–180, 1996.
H. Zhou, S. Chan and Kok F. Lai, “Multilingual Information Retrieval System,” Multimedia Storage and Archiving Systems, SPIE Proc Vol. 2916, Boston, 1996, pp. 33–45.
H. Chen, B. Schatz, T. Ng, J. Martinez, A. Kirchhoff and C. Lim, “A Parallel Computing Approach to Creating Engineering Concept Spaces for Semantic Retrieval The Illinois Digital Library Initiative Project,” IEEE Trans. Pattern Analysis and Machine Intelligence, 18(8), 1996, pp. 771–782.
P.G.B. Enser, “Query Analysis in a Visual Information Retrieval Context,” Journal of Document and Text Management, 1(1), 1993.
T. Poggio and V. Torre, “Ill-posed Problems and Regularization Analysis in Early Vision, ” Proceedings of AARPA Image Understanding Workshop, 1984, pp. 257–263.
R. W. Picard and T. P. Minka, “Vision Texture for Annotation”, Multimedia Systems, Vol 3, 1995, pp. 3–14.
Rohini K. Srihari, “Automatic Indexing and Content-Based Retrieval of Captioned Images,” IEEE Computer, September 1995, pp.49–56.
M. Shneier and M. Abdel-Mottaleb, “Exploiting the JPEG Compression Scheme for Image Retrieval,” IEEE Trans. Pattern Analysis and Machine Intelligence, 18(8), 1996, pp. 849–853.
V. Kobla, D. Doermann and K. Lin, “Archiving, Indexing, and Retrieval of Video in the Compressed Domain,” Multimedia Storage and Archiving Systems, SPIE Proc Vol. 2916, Boston, 1996, pp. 78–89.
J. Mao and A.K. Jain, “Texture Classification and Segmentation Using Multiresolution Simultaneous Autoregressive Models,” Pattern Recognition, vol. 25, No.2, 1992, pp.173–188.
A. Pentland, R. W. Picard and S. Sclaroff, “Photobook: Tools for Content-Based Manipulation of Image Databases,” International Journal of Computer Vision, 18(3), 1996, pp233–254.
L. Wang and D. He, “Texture Classification using Texture Spectrum,” Pattern Recognition, Vol.23, No.8, 1990, pp. 905–910.
D.K. Harman, “The First Text REtrieval Conference (TREC-1),” Information Processing and Management, 29(4), 1993, pp. 411–414.
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© 1997 Springer-Verlag Berlin Heidelberg
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Lai, K.F., Zhou, H., Chan, S. (1997). Query expansion by raw image features and text annotations in image retrieval. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_147
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DOI: https://doi.org/10.1007/3-540-63930-6_147
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