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Presenting Visual Information to the User: Combining Computer Vision and Interface Design

dc.contributor.advisorJacobs, Daviden_US
dc.contributor.advisorChellappa, Ramaen_US
dc.contributor.authorAgarwal, Gauraven_US
dc.description.abstractIn this work, we suggest better ways to present visual information (image databases) for browsing and retrieval. Thumbnails obtained from an image set give a good overview of its contents. Instead of simply downsampling images to obtain thumbnails, we first find salient regions (saliency map) using local statistical features of the image. We crop and downsample the images based on these saliency maps, and obtain better thumbnails. The suggested methods of finding salient regions are faster than existing methods while giving comparable results. Secondly, we have developed a Content Based Image Retrieval (CBIR) system to provide empirical evidence (by user study) that similarity based grouped and hierarchical placement of images is better than random placement. Using an effective shape based similarity measure we conclude that visual search is very useful in image retrieval systems. We conducted a field test to check the robustness of the system in varying photography conditions.en_US
dc.format.extent3968607 bytes
dc.titlePresenting Visual Information to the User: Combining Computer Vision and Interface Designen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentElectrical Engineeringen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pquncontrolledelectronic field guideen_US
dc.subject.pquncontrolledimage placement techniquesen_US
dc.subject.pquncontrolledfield testen_US

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