Content-Based Object Movie Retrieval and Relevance Feedbacks
<p/> <p>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 p...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2007-01-01
|
| Series: | EURASIP Journal on Advances in Signal Processing |
| Online Access: | http://asp.eurasipjournals.com/content/2007/089691 |
| _version_ | 1818807755255840768 |
|---|---|
| author | Lee Greg C Hung Yi-Ping Chan Li-Wei Chiang Cheng-Chieh |
| author_facet | Lee Greg C Hung Yi-Ping Chan Li-Wei Chiang Cheng-Chieh |
| author_sort | Lee Greg C |
| collection | DOAJ |
| description | <p/> <p>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.</p> |
| first_indexed | 2024-12-18T19:30:42Z |
| format | Article |
| id | doaj.art-07a4cc54b5f249d3bfe3da0aadab4e3d |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-18T19:30:42Z |
| publishDate | 2007-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-07a4cc54b5f249d3bfe3da0aadab4e3d2022-12-21T20:55:43ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071089691Content-Based Object Movie Retrieval and Relevance FeedbacksLee Greg CHung Yi-PingChan Li-WeiChiang Cheng-Chieh<p/> <p>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.</p>http://asp.eurasipjournals.com/content/2007/089691 |
| spellingShingle | Lee Greg C Hung Yi-Ping Chan Li-Wei Chiang Cheng-Chieh Content-Based Object Movie Retrieval and Relevance Feedbacks EURASIP Journal on Advances in Signal Processing |
| title | Content-Based Object Movie Retrieval and Relevance Feedbacks |
| title_full | Content-Based Object Movie Retrieval and Relevance Feedbacks |
| title_fullStr | Content-Based Object Movie Retrieval and Relevance Feedbacks |
| title_full_unstemmed | Content-Based Object Movie Retrieval and Relevance Feedbacks |
| title_short | Content-Based Object Movie Retrieval and Relevance Feedbacks |
| title_sort | content based object movie retrieval and relevance feedbacks |
| url | http://asp.eurasipjournals.com/content/2007/089691 |
| work_keys_str_mv | AT leegregc contentbasedobjectmovieretrievalandrelevancefeedbacks AT hungyiping contentbasedobjectmovieretrievalandrelevancefeedbacks AT chanliwei contentbasedobjectmovieretrievalandrelevancefeedbacks AT chiangchengchieh contentbasedobjectmovieretrievalandrelevancefeedbacks |