NDLI: Ontology-Based Trajectory Analysis for Semantic Event Detection

Content Provider	IEEE Xplore Digital Library
Author	Briassouli, A. Dasiopoulou, S. Kompatsiaris, I.
Copyright Year	2007
Description	Author affiliation: Informatics & Telematics Inst. Centre for Res. & Technol. Hellas, Thessaloniki (Briassouli, A.; Dasiopoulou, S.; Kompatsiaris, I.)
Abstract	Semantic analysis of multimedia data, such as images, image databases and videos, has attracted much attention in the past years. The extraction of human centered descriptions, matching end users cognition, and specifically the detection and identification of events in videos is a particularly challenging problem, due to the volume and diversity of both the low-level features that can be extracted from multimedia data, and also of the corresponding high-level information conveyed. Numerous efforts have begun, attempting to bridge the semantic gap between low-level data and higher level descriptions, often resorting to domain-specific learning-based approaches. The advent, however of the Semantic Web paved a new direction in knowledge management and utilization, advancing aspects such as knowledge sharing and reuse. In this paper we present a novel, generally applicable approach, for hierarchical semantic analysis of spatiotemporal video features (trajectories) in order to localize and detect events of interest. Dynamically changing trajectories are extracted by processing the optical flow, based on its statistics. The temporal evolution of the trajectories' geometrical and spatiotemporal characteristics forms the basis on which event detection is performed. This is based on the exploitation of prior knowledge, which provides the formal conceptualization needed to enable the automatic inference of high level event descriptions. To enhance extensibility, a modular approach has been followed, employing different ontologies for the individual types of knowledge required, namely geometrical, spatiotemporal and domain related. Thus, knowledge and consequently derived descriptions, propagate along successively higher abstraction levels. Experimental results with a variety of surveillance videos are presented to exemplify the usability and effectiveness of the proposed system.
Starting Page	735
Ending Page	742
File Size	902356
Page Count	8
File Format	PDF
ISBN	9780769529974
DOI	10.1109/ICSC.2007.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Image analysis Event detection Image databases Humans Ontologies Multimedia databases Spatiotemporal phenomena Data mining Videos
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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