Non-Uniform Segmentation Method for Streaming Media Based on Best Segmentation Point Estimation

Autor: Yushan Deng, Yirong Zhuang, Ge Chen, Jun Zhang
Jazyk: čínština
Rok vydání: 2015
Předmět:
Zdroj: Dianxin kexue, Vol 31, Pp 124-129 (2015)
Druh dokumentu: article
ISSN: 1000-0801
DOI: 10.11959/j.issn.1000-0801.2015232
Popis: According to the relationship between the byte hit rates and the popularities of the stored streaming media segments, a new non-uniform segmentation method for the streaming media based on best segmentation point estimation was proposed. In the proposed method, the best internal segmentation points of the streaming media were estimated according to the external boundary popularity of the streaming media at the current storage size of the proxy. Then each video was divided into high popularity and low popularity parts using the estimated best internal segmentation point. Experimental results show that the proposed method can effectively reduce the number of segments and improve byte hit rates comparing with the uniform segmentation method.
Databáze: Directory of Open Access Journals