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CIVR
2010
Springer

Optimizing visual search with implicit user feedback in interactive video retrieval

9 years 4 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, we propose a framework, in which video processing is performed by employing well established techniques, while implicit user feedback analysis is realized with a graph based approach that processes the user actions and navigation patterns during a search session, in order to initiate semantic relations between the video segments. To combine the visual and implicit feedback information, we train a support vector machine classifier with positive and negative examples generated from the graph structured past user interaction data. Then, the classifier reranks the results of visual search that were initially based on visual features. This framework is embedded in an interactive video search engine and evaluated by conducting a user experiment in two phases: first, we record the user actions during typical retriev...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis
Added 19 Jul 2010
Updated 19 Jul 2010
Type Conference
Year 2010
Where CIVR
Authors Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis Patras
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