Film clips retrieval using image queries

被引：0
|
作者：
Ling Zou
Xin Jin
Bo Wei
机构：
[1] Beijing Film Academy,Digital Media School
[2] Beijing Electronic Science and Technology Institute,undefined
[3] Hangzhou dianzi University,undefined
来源：
Multimedia Tools and Applications | 2020年 / 79卷
关键词：
Deep learning; Transfer learning; Film editing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The emergence of entertainment industry motivates the explosive growth of automatically film trailer. Manually finding desired clips from these large amounts of films is time-consuming and tedious, which makes finding the moments of user major or special preference becomes an urgent problem. Moreover, the user subjectivity over a film makes no fixed trailer caters to all tastes. This paper addresses these problems by posing a query-related film clip extraction framework which optimizes selected frames not only meet the semantic meaning of the queries but also have visual similarity on appearance between the query and selected clips. The experimental results show that our query-related film clip retrieval method is particularly useful for film editing, e.g. automatically finding movie clips to arouse audiences’ interests on the film.
引用
收藏
页码：14725 / 14732
页数：7
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