Object

Title: Method for video shot detection and separation

Co-author(s) :

Zakaryan Manuk

Abstract:

Shot boundary detection is main step in video management systems like browsing and indexing. In this paper, we shortly describe an earlier proposed shot detection algorithm based on the structural properties of video frames. Two mathematical models for decision making, i.e. for similarity threshold determination are proposed and compared. The first model allows determination of threshold in case of using mean-square deviation for frames similarity and when the image pixel is assumed to be normal distributed random variable. The second model is based on using the structural similarity measure based on Weibull model for image gradient magnitude distribution. Global and adaptive approaches are considered for frames similarity threshold determination. Results of experiments to detect real video shots are given. It is shown that adaptive threshold determination method generally gives more acceptable results than global threshold determination method. At the same time the W2 based threshold determination approach gives more accurate results than PSNR based approach, therewith corresponds to HVS perception.

Publisher:

ITHEA

Date of publication:

2014

Identifier:

oai:noad.sci.am:135927

ISSN:

1314-6416

Language:

English

Journal or Publication Title:

Information Models and Analyses

Volume:

3

Number:

3

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:

1

All available object's versions:

https://noad.sci.am/publication/149520

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