Interactive search and browsing interface for large-scale visual repositories |
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Authors: | Kan Ren Risto Sarvas Janko ?ali? |
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Affiliation: | (1) I-Lab, University of Surrey, Guildford, GU2 7XH, UK;(2) Helsinki Institute for Information Technology, PO Box 9800, 02015 TKK, Finland |
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Abstract: | Due to the rapid proliferation of both user-generated and broadcasted content, the interfaces for search and browsing of visual
media have become increasingly important. This paper presents a novel intuitive interactive interface for browsing of large-scale
image and video collections. It visualises underlying structure of the dataset by the size and spatial relations of displayed
images. In order to achieve this, images or video key-frames are initially clustered using an unsupervised graph-based clustering
algorithm. By selecting images that are hierarchically laid out on the screen, user can intuitively navigate through the collection
or search for specific content. The extensive experimental results based on user evaluation of photo search, browsing and
selection as well as interactive video search demonstrate good usability of the presented system and improvement when compared
to the standard methods for interaction with large-scale image and video collections. |
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Keywords: | |
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