Segment-hashing based trustworthy video audience measurement framework for MPEG-DASH

Nakyoung Kim, Hyeontaek Oh, J. Choi, Jinhong Yang
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Abstract

This paper proposes a video audience measurement framework for MPEG-DASH. In current untrustworthy over-the-top (OTT) environments, the proposed framework utilizes segment-hashing to collect and offer video audience measurement to third party organizations while ensuring the protection of consumers' privacy. The system generates hash values for video streaming segments, establishes a video information database, and manages the generated hash data to retrieve users' video consumption patterns. Proof of concept implementation has been done to show the realization possibility of the proposed system based on HTML5 standards using JavaScript DASH libraries.
基于分段哈希的MPEG-DASH可信视频受众度量框架
本文提出了一种面向MPEG-DASH的视频观众测量框架。在当前不可信的OTT环境中,所提出的框架利用分段哈希来收集并向第三方组织提供视频受众测量,同时确保保护消费者隐私。系统对视频流段生成哈希值,建立视频信息库,对生成的哈希数据进行管理,检索用户的视频消费模式。通过概念实现验证,展示了基于HTML5标准的基于JavaScript DASH库的系统实现的可能性。
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