Utilizing Implicit User Feedback to Improve Interactive Video Retrieval
This paper describes an approach to exploit the implicit user feedback gathered during interactive video retrieval tasks. We propose a framework, where the video is first indexed according to temporal, textual, and visual features and then implicit user feedback analysis is realized using a graph-ba...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2011/310762 |
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| _version_ | 1832560593776672768 |
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| author | Stefanos Vrochidis Ioannis Kompatsiaris Ioannis Patras |
| author_facet | Stefanos Vrochidis Ioannis Kompatsiaris Ioannis Patras |
| author_sort | Stefanos Vrochidis |
| collection | DOAJ |
| description | This paper describes an approach to exploit the implicit user feedback gathered during interactive video retrieval tasks. We propose a framework, where the video is first indexed according to temporal, textual, and visual features and then implicit user feedback analysis is realized using a graph-based methodology. The generated graph encodes the semantic relations between video segments based on past user interaction and is subsequently used to generate recommendations. Moreover, we combine the visual features and implicit feedback information by training a support vector machine classifier with examples generated from the aforementioned graph in order to optimize the query by visual example search. The proposed framework is evaluated by conducting real-user experiments. The results demonstrate that significant improvement in terms of precision and recall is reported after the exploitation of implicit user feedback, while an improved ranking is presented in most of the evaluated queries by visual example. |
| format | Article |
| id | doaj-art-49994737e0ee4223b179012045da58b6 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-49994737e0ee4223b179012045da58b62025-02-03T01:27:12ZengWileyAdvances in Multimedia1687-56801687-56992011-01-01201110.1155/2011/310762310762Utilizing Implicit User Feedback to Improve Interactive Video RetrievalStefanos Vrochidis0Ioannis Kompatsiaris1Ioannis Patras2Centre for Research and Technology Hellas, Informatics and Telematics Institute, 6th Klm Charilaou-Thermi Road, 57001 Thessaloniki, GreeceCentre for Research and Technology Hellas, Informatics and Telematics Institute, 6th Klm Charilaou-Thermi Road, 57001 Thessaloniki, GreeceQueen Mary, University of London, Mile End Road, London E1 4NS, UKThis paper describes an approach to exploit the implicit user feedback gathered during interactive video retrieval tasks. We propose a framework, where the video is first indexed according to temporal, textual, and visual features and then implicit user feedback analysis is realized using a graph-based methodology. The generated graph encodes the semantic relations between video segments based on past user interaction and is subsequently used to generate recommendations. Moreover, we combine the visual features and implicit feedback information by training a support vector machine classifier with examples generated from the aforementioned graph in order to optimize the query by visual example search. The proposed framework is evaluated by conducting real-user experiments. The results demonstrate that significant improvement in terms of precision and recall is reported after the exploitation of implicit user feedback, while an improved ranking is presented in most of the evaluated queries by visual example.http://dx.doi.org/10.1155/2011/310762 |
| spellingShingle | Stefanos Vrochidis Ioannis Kompatsiaris Ioannis Patras Utilizing Implicit User Feedback to Improve Interactive Video Retrieval Advances in Multimedia |
| title | Utilizing Implicit User Feedback to Improve Interactive Video Retrieval |
| title_full | Utilizing Implicit User Feedback to Improve Interactive Video Retrieval |
| title_fullStr | Utilizing Implicit User Feedback to Improve Interactive Video Retrieval |
| title_full_unstemmed | Utilizing Implicit User Feedback to Improve Interactive Video Retrieval |
| title_short | Utilizing Implicit User Feedback to Improve Interactive Video Retrieval |
| title_sort | utilizing implicit user feedback to improve interactive video retrieval |
| url | http://dx.doi.org/10.1155/2011/310762 |
| work_keys_str_mv | AT stefanosvrochidis utilizingimplicituserfeedbacktoimproveinteractivevideoretrieval AT ioanniskompatsiaris utilizingimplicituserfeedbacktoimproveinteractivevideoretrieval AT ioannispatras utilizingimplicituserfeedbacktoimproveinteractivevideoretrieval |