QUERY SOUND-BY-EXAMPLE VIDEO RETRIEVAL FRAMEWORK

被引：0
|
作者：
Feki, Issam [1 ]
Ben Ammar, Anis [1 ]
Alimi, Adel M. [1 ]
机构：
[1] Univ Sfax, ENIS, Res Grp Intelligent Machines, REGIM Lab, BP1173, Sfax 3038, Tunisia
来源：
2014 14TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS) | 2014年
关键词：
audio concept; sound indexing; query sound; video retrieval;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, query sound-by-example video retrieval framework based on audio concepts is presented. First, audio stream extracted from movies in the database is set into orientation clusters using an unsupervised segmentation technique. Audio signals admit a new proposed particular pretreatment process to distinguish audio concepts. This is used for indexing the video data. Second, the query asked by the user, in sound signal form, is treated. Finally, a specific retrieval function is used to obtain video shot containing the sound of query. Objective evaluation reached 89% retrieval performance.
引用
收藏
页码：297 / 302
页数：6
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