NDLI: Chants and Orcas: semi-automatic tools for audio annotation and analysis in niche domains

Please wait, while we are loading the content...

Learning ontology rules for semantic video annotation

Chants and Orcas: semi-automatic tools for audio annotation and analysis in niche domains

Affective ranking of movie scenes using physiological signals and content analysis

Employing a photo's life cycle for multimedia retrieval

The semantics of MPEG-21 digital items revisited

An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags

Use of weighted visual terms and machine learning techniques for image content recognition relying on mpeg-7 visual descriptors

Multimedia knowledge management using ontologies

Spatio-temporal query for multimedia databases

Chants and Orcas: semi-automatic tools for audio annotation and analysis in niche domains

Content Provider	ACM Digital Library
Author	Ness, Steven R. Martins, L. Gustavo Wright, Matthew Tzanetakis, George
Abstract	The recent explosion of web-based collaborative applications in business and social media sites demonstrated the power of collaborative internet scale software. This includes the ability to access huge datasets, the ability to quickly update software, and the ability to let people around the world collaborate seamlessly. Multimedia learning techniques have the potential to make unstructured multimedia data accessible, reusable, searchable, and manageable. We present two different web-based collaborative projects: Cantillion, and the Orchive. Cantillion enables ethnomusicology scholars to listen and view data relating to chants from a variety of traditions, letting them view and interact with various pitch contour representations of the chant. The Orchive is a project to digitize over 20,000 hours of Orcinus orca (killer whale) vocalizations, recorded over a period of approximately 35 years, and provide tools to assist their study. The developed tools utilize ideas and techniques that are similar to the ones used in general multimedia domains such as sports video or news. However, their niche nature has presented us with special challenges as well as opportunities. Unlike more traditional domains where there are clearly defined objectives one of the biggest challenges has been the desire to support researchers to formulate questions and problems related to the data even when there is no clearly defined objective.
Starting Page	9
Ending Page	16
Page Count	8
File Format	PDF
ISBN	9781605583167
DOI	10.1145/1460676.1460680
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multimedia analysis Machine learning Multimedia annotation Semi-automatic annotation Audio feature extraction
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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