Self-supervised video hashing with hierarchical binary auto-encoder

• Main Authors: Song, Jingkuan, Zhang, Hanwang, Li, Xiangpeng, Gao, Lianli, Wang, Meng, Hong, Richang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Video Hashing; Video Retrieval
• Online Access: https://hdl.handle.net/10356/142308
• Institution: Nanyang Technological University

Existing video hash functions are built on three isolated stages: frame pooling, relaxed learning, and binarization, which have not adequately explored the temporal order of video frames in a joint binary optimization model, resulting in severe information loss. In this paper, we propose a novel uns...