Abstract
Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie is a good representation of a physical object because it can provide 3D interactive viewing effect, but does not require 3D reconstruction. In order to retrieve the desired object movie from the database, we first map an object movie into a manifold in the feature space. Two different sets of feature descriptors, one dense and one condensed, are designed to sample the manifold. Based on these descriptors, we define the dissimilarity measure between the query and the target in the object movie database. The query we considered can be either a complete object movie or simply a subset of views. In this paper, we further propose a relevance feedback approach to improving retrieved results. Some experimental results are shown to show the potential of our approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Belongie, S., Malik, J., Puzicha, J.: Shape Matching and Object Recognition Using Shape Contexts. IEEE Transactions on pattern analysis and machine intelligence (April 2002)
Castelli, V., Bergman, L.D.: Image Databases: Search and Retrieval of Digital Imagery. J. Wiley & Sons. Inc., Chichester (2002)
Chen, D.-Y., Ouhyoung, M., Tian, X.-P., Shen, Y.-T.: On Visual Similarity Based 3D Model Retrieval. Computer Graphics Forum., 223–232 (2003)
Cyr, M.C., Benjamin, B.K.: 3D Object Recognition Using Shape Similiarity-Based Aspect Graph. In: Proceedings of ICCV (2001)
Funkhouser, T., Min, P., Kazhdan, M., Chen, J., Halderman, A., Dobkin, D., Jacobs, D.: A Search Engine for 3D Models. ACM Transactions on Graphics 22(1), 83–105 (2003)
Hung, Y.P., Chen, C.S., Tsai, Y.P., Lin, S.W.: Augmenting Panoramas with Object Movies by Generating Novel Views with Disparity-Based View Morphing. Journal of Visualization and Computer Animation 13, 237–247 (2002)
Khotanzad, A., Hong, Y.H.: Invariant image recognition by Zernike moments. IEEE Transaction on PAMI 12(5), 489–497 (1990)
Mahmoudi, S., Daoudi, M.: 3D Models Retrieval by Using Characteristic Views. In: Proceedings of ICPR, pp. 457–460 (2002)
Min, P.: A 3D Model Search Engine. Ph.D. Thesis, Princeton University (January 2004)
Schettini, R., Ciocca, G., Zuffi, S.: A Survey on Methods for Colour Image Indexing and Retrieval in Image Databases. Color Imaging Science: Exploiting Digital Media. J. Wiley & Sons. Inc., Chichester (2001)
Selinger, A., Nelson, R.C.: Appearance-Based Object Recognition Using Multiple Views. In: Proceedings of CVPR (2001)
Shilane, P., Min, P., Kazhdan, M., Funkhouser, T.: The Princeton Shape Benchmark. In: Proceedings of SMI, pp. 167–178 (2004)
Yu, M., Atmosukarto, I., Leow, W.K., Huang, Z., Xu, R.: 3D Model Retrieval with Morphing-Based Geometric and Topological Feature Maps. In: Proceedings of CVPR, pp. 656–661 (2003)
Zhang, C., Chen, T.: Indexing and Retrieval of 3D Models Aided by Active Learning. In: Proceedings of ACM Multi-media (2001)
Zhang, D.S., Lu, G.: A Comparative Study of Fourier Descriptors for Shape Representation and Retrieval. In: Proceedings of ACCV, pp. 646–651 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chan, LW., Chiang, CC., Hung, YP. (2005). Content-Based Object Movie Retrieval by Use of Relevance Feedback. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_46
Download citation
DOI: https://doi.org/10.1007/11526346_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27858-0
Online ISBN: 978-3-540-31678-7
eBook Packages: Computer ScienceComputer Science (R0)