PERSONALIZED VIDEO SUMMARIZATION BASED ON GROUP SCORING

被引：0

作者：

Darabi, Kaveh ^{[1
]}

Ghinea, Gheorghita ^{[1
]}

机构：

[1] Brunel Univ, Sch Comp & Informat Syst, London, England

来源：

2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP) | 2014年

关键词：

Video summarization; Personalization; Upgrading frames scores; user-centred;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper an expert-based model for generation of personalized video summaries is suggested. The video frames are initially scored and annotated by multiple video experts. Thereafter, the scores for the video segments that have been assigned the higher priorities by end users will be upgraded. Considering the required summary length, the highest scored video frames will be inserted into a personalized final summary. For evaluation purposes, the video summaries generated by our system have been compared against the results from a number of automatic and semi-automatic summarization tools that use different modalities for abstraction.

引用

页码：310 / 314

页数：5

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