Object

Title: Novel approach to content-based video indexing and retrieval byusing a measure of structural similarity of frames

Co-author(s) :

Zakaryan Manuk

Abstract:

Extracting a small number of key-frames that can abstract the content of video is very important for efficient browsing and retrieval in video databases. Most research on video content involves automatically detecting the boundaries between camera shots. After shot boundary detection there is a need for shots indexing. In this paper, we present the gradient field based algorithm of shot detection and new method of key-frames determination. We provide a novel algorithm aimed to find a compact set of key-frames that can represent a video segment for a given degree of fidelity. The advantages of proposed approach are high performance of detection of the key-frames and linear speed of retrieval from the databases. Also we provide a new concept of the shot segment analysis and interpretation, using graphical and numerical methods.

Publisher:

ITHEA

Date of publication:

2015

Identifier:

oai:noad.sci.am:135928

ISSN:

2367-5128

Language:

English

Journal or Publication Title:

Information Content and Processing

Volume:

2

Number:

1

URL:

click here to follow the link

Additional Information:

dasat@ipia.sci.am ; zakaryanmanuk@yahoo.com

Affiliation:

Institute for Informatics and Automation Problems of NAS RA

Country:

Armenia

Object collections:

Last modified:

May 3, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

3

All available object's versions:

https://noad.sci.am/publication/149521

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