基于分组评分的个性化视频摘要

K. Darabi, G. Ghinea
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引用次数: 5

摘要

提出了一种基于专家的个性化视频摘要生成模型。视频帧最初由多个视频专家评分和注释。之后,被最终用户分配到更高优先级的视频片段的分数将被升级。考虑到所需的摘要长度,得分最高的视频帧将被插入到个性化的最终摘要中。为了评估目的,我们的系统生成的视频摘要已经与使用不同抽象模式的许多自动和半自动摘要工具的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized video summarization based on group scoring
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.
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