Photo linker: a system for finding your old photos based on fragmentary memories
Authors: 
Shikui Wei, Fan Yang, Tao Ruan, Ruoyu Liu, Zhenfeng Zhu, Yao ZhaoAuthors Info & Claims
Article No.: 58, Pages 1 - 5
Abstract
With the rapid spread of image capture devices, the size of family album grows quickly up. It is difficult for family members to find out an expected photo just based on their fragmentary memory. In this paper, we attempt to develop a system named Photo Linker, to help people quickly get their expected photos by fully exploring the clues remembered by themselves. The key idea is to build the relationship among all photos by shared faces and scenes. The system includes three key components: (1) face detection and recognition; (2) scene classification; (3) association searching. In particular, an algorithm called "Association Correction" based on FP-Growth is discovered to improve the face recognition rate of family members. Moreover, a friendly interface is designed and implemented to facilitate the photo searching process. The experimental results show that the system can effectively and efficiently build the relationship among photos and make the photo finding process more convenient.
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Index Terms
- Photo linker: a system for finding your old photos based on fragmentary memories
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Information
Published In
August 2015
397 pages
ISBN:9781450335287
DOI:10.1145/2808492
- General Chairs:
- Ramesh Jain,
- Shuqiang Jiang,
- Program Chairs:
- John Smith,
- Jitao Sang,
- Guohui Li
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 19 August 2015
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- Research-article
Funding Sources
- Program for Changjiang Scholars and Innovative Research Team in University
- National Basic Research Program of China
- Fundamental Research Funds for the Central Universities
- Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, China
- National Natural Science Foundation of China
Conference
ICIMCS '15
ICIMCS '15: International Conference on Internet Multimedia Computing and Service
August 19 - 21, 2015
Hunan, Zhangjiajie, China
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ICIMCS '15 Paper Acceptance Rate 20 of 128 submissions, 16%;
Overall Acceptance Rate 163 of 456 submissions, 36%
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