Cited By
View all- Barnard K(2016)Computational Methods for Integrating Vision and LanguageSynthesis Lectures on Computer Vision10.2200/S00705ED1V01Y201602COV0076:1(1-227)Online publication date: 20-Apr-2016
Fusing object detection and region appearance for image-text alignment
Authors: 
Luca Del Pero, Philip Lee, James Magahern, Emily Hartley, Kobus Barnard, Ping Wang, Atul Kanaujia, Niels HaeringAuthors Info & Claims
Pages 1113 - 1116
Abstract
We present a method for automatically aligning words to image regions that integrates specific object classifiers (e.g., "car" detectors) with weak models based on appearance features. Previous strategies have largely focused on the latter, and thus have not exploited progress on object category recognition. Hence, we augment region labeling with object detection, which simplifies the problem by reliably identifying a subset of the labels, and thereby reducing correspondence ambiguity overall. Comprehensive testing on the SAIAPR TC dataset shows that principled integration of object detection improves the region labeling task.
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Index Terms
- Fusing object detection and region appearance for image-text alignment
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Information
Published In
November 2011
944 pages
ISBN:9781450306164
DOI:10.1145/2072298
- General Chairs:
- K. Selçuk Candan,
- Sethuraman Panchanathan,
- Balakrishnan Prabhakaran,
- Program Chairs:
- Hari Sundaram,
- Wu-Chi Feng,
- Nicu Sebe
Copyright © 2011 ACM.
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Published: 28 November 2011
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View all- Barnard K(2016)Computational Methods for Integrating Vision and LanguageSynthesis Lectures on Computer Vision10.2200/S00705ED1V01Y201602COV0076:1(1-227)Online publication date: 20-Apr-2016
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