Content-Based Object Movie Retrieval and Relevance Feedbacks
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Research Article Content-Based Object Movie Retrieval and Relevance Feedbacks Cheng-Chieh Chiang,1, 2 Li-Wei Chan,3 Yi-Ping Hung,4 and Greg C. Lee5 1 Graduate
Institute of Information and Computer Education, College of Education, National Taiwan Normal University, Taipei 106, Taiwan 2 Department of Information Technology, Takming College, Taipei 114, Taiwan 3 Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei 106, Taiwan 4 Graduate Institute of Networking and Multimedia, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei 106, Taiwan 5 Department of Computer Science and Information Engineering, College of Science, National Taiwan Normal University, Taipei 106, Taiwan Received 26 January 2006; Revised 19 November 2006; Accepted 13 May 2007 Recommended by Tsuhan Chen Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie provides a good representation of a physical object because it can provide 3D interactive viewing effect, but does not require 3D model reconstruction. In this paper, we propose an efficient approach for content-based object movie retrieval. In order to retrieve the desired object movie from the database, we first map an object movie into the sampling of a manifold in the feature space. Two different layers of feature descriptors, dense and condensed, are designed to sample the manifold for representing object movies. 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 an entire object movie or simply a subset of views. We further design a relevance feedback approach to improving retrieved results. Finally, some experimental results are presented to show the efficacy of our approach. Copyright © 2007 Cheng-Chieh Chiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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INTRODUCTION
Recently, it has been more popular to digitize 3D objects in the world of computer science. For complex objects, to construct and to render their 3D models are often very difficult. Hence, in our digital museum project working together with National Palace Museum and National Museum of History, we adopt object movie approach [1, 2] for digitizing antiques. Object movie which is first proposed by Apple Computer in QTVR (QiuckTime VR) [1] is an image-based rendering approach [3–6] for 3D object representation. An object movie is generated by capturing a set of 2D images at different perspectives around the real object. Figure 1 illustrates the image components of an object movie to represent a Wienie Bear. During the process of capturing an object movie, Wienie Bear is fixed and located at center, and the camera location is around Wienie Bear by controlling p
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