NDLI: Novel Method for Keyframe Extraction using Block Truncation Coding and Mean Square Error

Content Provider	IEEE Xplore Digital Library
Author	Thepade, S.D. Bankar, N. Raina, A. Deshpande, S. Kulkarni, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Inf. Technol., Pimpri-Chinchwad Coll. of Eng., Pune, India (Thepade, S.D.; Bankar, N.; Raina, A.; Deshpande, S.; Kulkarni, A.)
Abstract	A video signal is made of up `n' number of frames. Frames per second gives the number of frames per second, hence 32 fps means there are 32 frames in one second. In video processing we have to process each frame one by one, but processing each frame would consume a lot of resources and time. Key frame is a frame in which there is a major change as compared to the previous frame. Hence instead of processing all the frames we only process the key frames. In applications like video content summarization, data storage and surveillance key frames extraction plays a vital role. This paper explains key frame extraction by MSE, sobel edge detection and MSE, BTC, DTTBTC and TSTBTC. Results of the methods are compared and discussed.
Starting Page	1
Ending Page	5
File Size	3072930
Page Count	5
File Format	PDF
e-ISBN	9781479949823
DOI	10.1109/ICGCCEE.2014.6921403
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	BTC Image coding Image color analysis TSTBTC Mean square error methods Feature extraction Encoding Key frames Mathematical model DTTBTC Equations MSE
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Diverse color spaces in video keyframe extraction technique using thepade's sorted ternary block truncation coding with assorted similarity measures

Mean square error minimization using interpolative block truncation coding algorithms

Parallel and element-reduced Error-Diffused Block Truncation Coding

Image retrieval using Block Truncation Coding Extended to Color Clumps

Performance rise in Content Based Video retrieval using multi-level Thepade's sorted ternary Block Truncation Coding with intermediate block videos and even-odd videos

Performance gain of content based video retrieval technique using intermediate block truncation coding on different color spaces

Improved block truncation coding for color image compression in LCD overdrive

Content based image retrieval system using texture and modified block truncation coding

Performance comparison of feature vector extraction techniques in RGB color space using block truncation coding for content based image classification with discrete classifiers

Novel Method for Keyframe Extraction using Block Truncation Coding and Mean Square Error

Similar Documents

Diverse color spaces in video keyframe extraction technique using thepade's sorted ternary block truncation coding with assorted similarity measures

Mean square error minimization using interpolative block truncation coding algorithms

Parallel and element-reduced Error-Diffused Block Truncation Coding

Image retrieval using Block Truncation Coding Extended to Color Clumps

Performance rise in Content Based Video retrieval using multi-level Thepade's sorted ternary Block Truncation Coding with intermediate block videos and even-odd videos

Performance gain of content based video retrieval technique using intermediate block truncation coding on different color spaces

Improved block truncation coding for color image compression in LCD overdrive

Content based image retrieval system using texture and modified block truncation coding

Performance comparison of feature vector extraction techniques in RGB color space using block truncation coding for content based image classification with discrete classifiers

Novel Method for Keyframe Extraction using Block Truncation Coding and Mean Square Error