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High-entropy layouts for content-based browsing and retrieval

High-entropy layouts for content-based browsing and retrieval

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Original languageEnglish
Title of host publicationCIVR 2009
Subtitle of host publicationproceedings of the ACM International Conference on Image and Video Retrieval
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages116-123
Number of pages8
ISBN (Print)9781605584805
DOIs
StatePublished - 2009
EventACM International Conference on Image and Video Retrieval 2009 - Santorini Island, Greece

Conference

ConferenceACM International Conference on Image and Video Retrieval 2009
Abbreviated titleCIVR 2009
CountryGreece
CitySantorini Island
Period8/07/1010/07/10
Internet address

Abstract

Multimedia browsing and retrieval systems can use dimensionality reduction methods to map from high-dimensional content-based feature distributions to low-dimensional layout spaces for visualization. However, this often results in displays in which many items are occluded whilst large regions are empty or only sparsely populated with items. Furthermore, such methods do not take into account the shape of the region of layout space to be populated. This paper proposes a layout method that addresses these limitations. Layout distributions with low Renyi quadratic entropy are penalized since these result in displays in which some regions are over-populated (i.e. many images are occluded), sparsely populated or empty. Experiments using two image datasets and a comparison with two related methods show the effectiveness of the proposed method. Copyright 2009 ACM.

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