NDLI: Categorising videos using a personalised category catalogue

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Categorising videos using a personalised category catalogue

Content Provider	ACM Digital Library
Author	Ramakrishnan, Ganesh Vani, Ankit Ahuja, Pooja Bairi, Ramakrishna B.
Abstract	Video is an extremely effective way of reaching farmers with the latest agricultural technology and stories of other farmers. With a well-organised multifaceted video library, we can provide the farmers with services such as easy navigation, search and recommendations of videos as per their needs. Since categories and tags assigned by video uploaders on YouTube are often prone to noise and are not uniform across a video collection, we propose a semi-automated system to achieve this desired video categorisation. We adopt active learning as our strategy to evolve a personalised category catalogue for agricultural videos. We present a multi-label classification system, with a large global category catalogue, such as Wikipedia, as its initial label space. We narrow down on a domain-specific category catalogue, evolving our system by using associative Markov networks with the categories as nodes. Each node incorporates structural constructs and a binary SVM classifier as node features. We show that our categorisation for agricultural videos is less granular and more uniform as compared to YouTube tags, while staying sufficiently specific.
Starting Page	49
Ending Page	58
Page Count	10
File Format	PDF
ISBN	9781450334365
DOI	10.1145/2732587.2732594
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-03-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Topic identification Active learning Large scale classification Multi-label classification Video categorisation Personalisation
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

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