ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Attribute-Graph: A Graph based approach to Image Ranking

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.

[img] PDF
ICCV_1071_2015.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://dx.doi.org/10.1109/ICCV.2015.128


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
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

Actions (login required)

View Item View Item