Content-Based Object Movie Retrieval by Use of Relevance Feedback
| Autor: | Li-Wei Chan, 詹力韋 |
|---|---|
| Rok vydání: | 2004 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 92 The aim of this thesis is to build a content-based object movie retrieval system. It is to retrieve the desired object movies for a user from a large object movie database, based on the contents of object movies. Object movie is a good representation of a physical object because it can provide 3D interactive viewing effect, while not requiring 3D reconstruction. An object movie refers to a set of images captured from different perspectives around a physical object. An object movie can be mapped into a manifold in the feature space. Two different sets of feature descriptors, dense descriptor and condensed descriptor, 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 be subset of different views of the object. An algorithm for relevance feedback is also proposed in our system to capture the concepts a user has. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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