Jump to : Download | Note | Abstract | Contact | BibTex reference | EndNote reference |


Felix Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan Ye, Shih-Fu Chang. Weak Attributes for Large-Scale Image Retrieval. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Note on this paper

Supplementary material available here


Attribute-based query offers an intuitive way of image retrieval, in which users can describe the intended search targets with understandable attributes. In this paper, we develop a general and powerful framework to solve this problem by leveraging a large pool of weak attributes comprised of automatic classifier scores or other mid-level representations that can be easily acquired with little or no human labor. We extend the existing retrieval model of modeling dependency within query attributes to modeling dependency of query attributes on a large pool of weak attributes, which is more expressive and scalable. To efficiently learn such a large dependency model without overfitting, we further propose a semi-supervised graphical model to map each multi-attribute query to a subset of weak attributes. Through extensive experiments over several attribute benchmarks, we demonstrate consistent and significant performance improvements over the state-of-the-art techniques. In addition, we compile the largest multi-attribute image retrieval dateset to date, including 126 fully labeled query attributes and 6,000 weak attributes of 0.26 million images


FelixX. Yu
Rongrong Ji
Ming-Hen Tsai
Shih-Fu Chang

BibTex Reference

   Author = {Yu, Felix and Ji, Rongrong and Tsai, Ming-Hen and Ye,       Guangnan and Chang, Shih-Fu},
   Title = {Weak Attributes for Large-Scale Image Retrieval},
   BookTitle = {IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)},
   Year = {2012}

EndNote Reference [help]

Get EndNote Reference (.ref)


For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).