Prabhu, Nikita and Babu, Venkatesh R (2015) Attribute-Graph: A Graph based approach to Image Ranking. In: IEEE International Conference on Computer Vision, DEC 11-18, 2015, Santiago, CHILE, pp. 1071-1079.
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Abstract
We propose a novel image representation, termed Attribute-Graph, to rank images by their semantic similarity to a given query image. An Attribute-Graph is an undirected fully connected graph, incorporating both local and global image characteristics. The graph nodes characterise objects as well as the overall scene context using mid-level semantic attributes, while the edges capture the object topology. We demonstrate the effectiveness of Attribute-Graphs by applying them to the problem of image ranking. We benchmark the performance of our algorithm on the `rPascal' and `rImageNet' datasets, which we have created in order to evaluate the ranking performance on complex queries containing multiple objects. Our experimental evaluation shows that modelling images as Attribute-Graphs results in improved ranking performance over existing techniques.
Item Type: | Conference Proceedings |
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Series.: | IEEE International Conference on Computer Vision |
Additional Information: | Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Department/Centre: | Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre |
Date Deposited: | 08 Oct 2016 05:19 |
Last Modified: | 08 Oct 2016 05:19 |
URI: | http://eprints.iisc.ac.in/id/eprint/54679 |
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