Cross-modality hashing with partial correspondence
- Resource Type
- Conference
- Authors
- Gu, Yun; Xue, Haoyang; Yang, Jie; Shi, Pengfei
- Source
- 2015 IEEE International Conference on Image Processing (ICIP) Image Processing (ICIP), 2015 IEEE International Conference on. :1925-1929 Sep, 2015
- Subject
- Computing and Processing
Signal Processing and Analysis
Clocks
Internet
Optimization
Encyclopedias
Poles and towers
Electronic publishing
Cross-modality
Hashing
Partial Correspondence
Multimedia Search
- Language
Learning a hashing function for cross-media search is very desirable due to its low storage cost and fast query speed. However, the data crawled from Internet cannot always guarantee good correspondence among different modalities which affects the learning for hashing function. In this paper, we focus on cross-modal hashing with partially corresponded data. The data without full correspondence are made in use to enhance the hashing performance. The experiments on Wiki and NUS-WIDE datasets demonstrates that the proposed method outperforms some state-of-the-art hashing approaches with fewer correspondence information.