Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction

doi:10.1109/ICCV.2015.435

	Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction
	Li, Yan 1,2; Wang, Ruiping 1; Liu, Haomiao 1,2; Jiang, Huajie1,3 ; Shan, Shiguang 1; Chen, Xilin1
	2015
会议录名称	2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
ISSN	2380-7504
卷号	2015 International Conference on Computer Vision, ICCV 2015
页码	3819-3827
发表状态	已发表
DOI	10.1109/ICCV.2015.435
摘要	We address the challenging large-scale content-based face image retrieval problem, intended as searching images based on the presence of specific subject, given one face image of him/her. To this end, one natural demand is a supervised binary code learning method. While the learned codes might be discriminating, people often have a further expectation that whether some semantic message (e.g., visual attributes) can be read from the human-incomprehensible codes. For this purpose, we propose a novel binary code learning framework by jointly encoding identity discriminability and a number of facial attributes into unified binary code. In this way, the learned binary codes can be applied to not only fine-grained face image retrieval, but also facial attributes prediction, which is the very innovation of this work, just like killing two birds with one stone. To evaluate the effectiveness of the proposed method, extensive experiments are conducted on a new purified large-scale web celebrity database, named CFW 60K, with abundant manual identity and attributes annotation, and experimental results exhibit the superiority of our method over state-of-the-art.
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Santiago, Chile
会议日期	7-13 Dec. 2015
URL	查看原文
收录类别	CPCI ; EI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000380414100427
出版者	IEEE
EI入藏号	20162502506951
EI主题词	Binary codes ; Bins ; Birds ; Codes (symbols) ; Computer vision ; Semantics
EI分类号	Storage:694.4 ; Computer Software, Data Handling and Applications:723
WOS关键词	MODEL
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2302
专题	信息科学与技术学院信息科学与技术学院_特聘教授组_陈熙霖组信息科学与技术学院_博士生
通讯作者	Li, Yan
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 200031, Peoples R China
推荐引用方式 GB/T 7714	Li, Yan,Wang, Ruiping,Liu, Haomiao,et al. Two Birds, One Stone: Jointly Learning Binary Code for Large-scale Face Image Retrieval and Attributes Prediction[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2015:3819-3827.