标题：HASH LENGTH PREDICTION FOR VIDEO HASHING
作者：Sun, Jiande; Wang, Wulin; Li, Jing; Zhang, Huaxiang
作者机构：[Sun, Jiande; Li, Jing; Zhang, Huaxiang] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Peoples R China.; [Wang, Wulin] Shandong Univ, Sch In 更多
会议名称：IEEE International Conference on Multimedia & Expo (ICME)
会议日期：JUL 11-15, 2016
来源：2016 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW)
关键词：Video Hash; Mobile Searching; Visual Searching; Hash Length; Video Copy; Detection
摘要：Video hashing has attracted increasing attention in the field of video searching. However, there was no technical research on the prediction of hash length, which is extremely important in mobile circumstance. In this paper, a hash length prediction method is proposed for video hashing in the case of video copy detection. The video feature is mapped to video hashes with different lengths via kernel-based supervised hashing (KSH). A part of the dataset is used as the training data to establish the relationship between the probability of collision (PoC) and hash length according to the probability distributions of the bit error rate (BER) of hash for non-copy and copy videos, respectively. Referring to this relationship, the approximate shortest hash length with approximate best performance for the whole dataset is predicted. Simulations demonstrate that the proposed hash length prediction method can estimate the approximate optimal length for the corresponding video hash, which can be used as a reference for the whole dataset.