Semantic Extraction and Object Proposal for Video Search

被引：2

作者：

Vinh-Tiep Nguyen ^{[1
]}

Thanh Duc Ngo ^{[2
]}

Duy-Dinh Le ^{[2
]}

Minh-Triet Tran ^{[1
]}

Duc Anh Duong ^{[2
]}

Satoh, Shin'ichi ^{[3
]}

机构：

[1] Vietnam Natl Univ HCMC, Univ Sci, Ho Chi Minh City, Vietnam

[2] Vietnam Natl Univ HCMC, Univ Informat Technol, Ho Chi Minh City, Vietnam

[3] Natl Inst Informat, Tokyo, Japan

来源：

MULTIMEDIA MODELING, MMM 2017, PT II | 2017年 / 10133卷

关键词：

Semantic extraction; Object proposal; Sketch based search;

D O I：

10.1007/978-3-319-51814-5_44

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, we propose two approaches to deal with the problems of video searching: ad-hoc video search and known item search. First, we propose to combine multiple semantic concepts extracted from multiple networks trained on many data domains. Second, to help user find exactly video shot that has been shown before, we propose a sketch based search system which detects and indexes many objects proposed by an object proposal algorithm. By this way, we not only leverage the concepts but also the spatial relations between them.

引用

页码：475 / 479

页数：5

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