Object

Title: Improved algorithm for video shot detection

Co-author(s) :

Zakaryan Manuk

Abstract:

Currently digital video are widely used in various fields of science and technology and in human daily activities. Intensively growing and already existing huge amount of digital video data need to be managed, so the shot boundary detection is the first and important step for content-based video retrieval and indexing. Each algorithm aimed for this approach should accurately detect boundaries between camera shots and do a segmentation of a video. In this paper a new method of abrupt transitions detection is proposed, based on Weibull distribution of each frame's gradient magnitude. Experimental results successfully show that it can effectively detect hard cuts and has certain advantages against widely used other methods, which are using image pixels point-by-point comparison method.

Publisher:

ITHEA

Date of publication:

2014

Identifier:

oai:noad.sci.am:135937

ISSN:

2367-5128

Language:

English

Journal or Publication Title:

Information Content and Processing

Volume:

1

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 ; Armenian (Slavonic) University

Country:

Armenia

Object collections:

Last modified:

May 3, 2021

In our library since:

Jul 27, 2020

Number of object content hits:

2

All available object's versions:

https://noad.sci.am/publication/149530

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

This page uses 'cookies'. More information