NDLI: Association of Sound to Motion in Video using Perceptual Organization

Content Provider	IEEE Xplore Digital Library
Author	Ravulapalli, S. Sarkar, S.
Copyright Year	2006
Description	Author affiliation: Comput. Sci. & Eng., South Florida Univ., Tampa, FL (Ravulapalli, S.; Sarkar, S.)
Abstract	Traditionally, video surveillance has mostly made use of visual data. However, in light of the new behavioral and physiological studies which demonstrated the existence of cross modality effects in human perception, similar cues are being used to develop a surveillance system based on both audio and visual data. Human beings can easily associate a particular sound to an object in the surrounding. Drawing from such studies, we demonstrate a technique by which we can isolate concurrent audio and video events and associate them based on perceptual grouping principles. Simple cues from both audio and video suffice to make this association. By representing audio in the pitch-time domain, we can use image processing algorithms such as line detection to extract elementary audio events. These events are then grouped using Gestalt principles of similarity and proximity into appropriate auditory events. Properties such as time of occurrence and periodicity are easily calculated from these groups. In video, we extract motion and shape periodicities. By comparing all the periodicities in audio and video using a simple index we can easily associate audio to video
Sponsorship	IEEE CPS
Starting Page	1216
Ending Page	1219
File Size	259563
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.277
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Auditory system Video surveillance Layout Motion detection Acoustic sensors Computer science Acoustical engineering Data engineering Image processing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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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