NDLI: Quality assessment framework for video contextualisation of personal videos

Content Provider	IET Digital Library
Author	Sanap, Pratap Apte, Shaila D.
Abstract	The world is witnessing rapid transformations in hardware technology. This will keep on improving day by day. The processing power of every handheld device is significantly improved as well as the storage capacity is increased. With all these advancements, the personal video capture and usage of videos have tremendously increased across many applications. The quality assessment of personal videos has become very important. It is a vital task to design a model for assessing the video quality. A novel methodology for detecting damaged video frames is proposed here. The primary objective of the research is to detect uni-coloured frames and frames with ice effect. The novel histograms bin comparison technique is proposed for inter- and intraframe analysis. The shakiness of the video is calculated using motion estimation. The video quality is also assessed using blur detection as well as contrast calculation to spot useful portion in the video. The proposed framework generates the video quality metadata and supports the contextualisation process.
Starting Page	545
Ending Page	551
Page Count	7
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 3, Feb (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6022
Journal	IET Image Processing
Publisher Date	2019-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Contextualisation Process Damaged Video Frames Data Compression Handheld Device Image And Video Coding Image Colour Analysis Image Restoration Image Sequence Meta Data Motion Estimation Personal Video Capture Personal Videos Processing Power Quality Assessment Framework Rapid Transformations Spatial And Pictorial Database Uni-coloured Frames Video Coding Video Contextualisation Video Quality Metadata Video Signal Processing Visual Database
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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
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