Video Preview Generation Based on Playback Records

Document Type

Conference Proceeding

Publication Date

11-1-2020

Abstract

A video preview is formed by joining a subset of video snippets from a source video. It is expected to be expressive to help enrich users' experience and hence increase the views of the full video. However, it is challenging to identify suitable video snippets to compose such video previews in support of user recommendation of full-length videos. In this paper, we formulate this problem as an optimization problem to maximize the total playback popularity of video segments based on the analysis of a large amount of users' playback records. We design an algorithm for this problem and provide proof of optimality. Furthermore, we conduct an experiment using real industrial data and recruit volunteers to assess the quality of generated video previews. The experimental results show the feasibility and applicability of our methods.

Identifier

85099786188 (Scopus)

ISBN

[9781728185774]

Publication Title

Proceedings of IEEE ACS International Conference on Computer Systems and Applications Aiccsa

External Full Text Location

https://doi.org/10.1109/AICCSA50499.2020.9316530

e-ISSN

21615330

ISSN

21615322

Volume

2020-November

Grant

2019C03138

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