Image/video indexing, retrieval and summarization based on eye movement
Information retrieval is one of the most fundamental functions in this era information. There is ambiguity in the scope of interest of users, regarding image/video retrieval, since an image usually contains one or more main objects in focus, as well as other objects which are considered as "bac...
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| Format: | Conference or Workshop Item |
| Language: | English |
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2011
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| Online Access: | https://repo.uum.edu.my/id/eprint/13690/1/Keynotes%203.pdf |
| _version_ | 1803626647891476480 |
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| author | Yoshitaka, Atsuo |
| author_facet | Yoshitaka, Atsuo |
| author_sort | Yoshitaka, Atsuo |
| collection | UUM |
| description | Information retrieval is one of the most fundamental functions in this era information. There is ambiguity in the scope of interest of users, regarding image/video retrieval, since an image usually contains one or more main objects in focus, as well as other objects which are considered as "background".This ambiguity often reduces the accuracy of image-based retrieval such as query by image example. Gaze detection is a promising approach to implicitly detect the focus of interest in an image or in video data to improve the performance of image retrieval, filtering and video summarization.In this paper, image/video indexing, retrieval and summarization based on gaze detection are described. |
| first_indexed | 2024-07-04T05:53:30Z |
| format | Conference or Workshop Item |
| id | uum-13690 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:53:30Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | uum-136902015-04-08T02:02:56Z https://repo.uum.edu.my/id/eprint/13690/ Image/video indexing, retrieval and summarization based on eye movement Yoshitaka, Atsuo QA76 Computer software Information retrieval is one of the most fundamental functions in this era information. There is ambiguity in the scope of interest of users, regarding image/video retrieval, since an image usually contains one or more main objects in focus, as well as other objects which are considered as "background".This ambiguity often reduces the accuracy of image-based retrieval such as query by image example. Gaze detection is a promising approach to implicitly detect the focus of interest in an image or in video data to improve the performance of image retrieval, filtering and video summarization.In this paper, image/video indexing, retrieval and summarization based on gaze detection are described. 2011 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13690/1/Keynotes%203.pdf Yoshitaka, Atsuo (2011) Image/video indexing, retrieval and summarization based on eye movement. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my |
| spellingShingle | QA76 Computer software Yoshitaka, Atsuo Image/video indexing, retrieval and summarization based on eye movement |
| title | Image/video indexing, retrieval and summarization based on eye movement |
| title_full | Image/video indexing, retrieval and summarization based on eye movement |
| title_fullStr | Image/video indexing, retrieval and summarization based on eye movement |
| title_full_unstemmed | Image/video indexing, retrieval and summarization based on eye movement |
| title_short | Image/video indexing, retrieval and summarization based on eye movement |
| title_sort | image video indexing retrieval and summarization based on eye movement |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/13690/1/Keynotes%203.pdf |
| work_keys_str_mv | AT yoshitakaatsuo imagevideoindexingretrievalandsummarizationbasedoneyemovement |