Group optimization for multi-attribute visual embedding
Understanding semantic similarity among images is the core of a wide range of computer graphics and computer vision applications. However, the visual context of images is often ambiguous as images that can be perceived with emphasis on different attributes. In this paper, we present a method for lea...
Main Authors: | Qiong Zeng, Wenzheng Chen, Zhuo Han, Mingyi Shi, Yanir Kleiman, Daniel Cohen-Or, Baoquan Chen, Yangyan Li |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2018-09-01
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Series: | Visual Informatics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2468502X18300408 |
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