NDLI: ViTex: Video To Tex and Its Application in Aerial Video Surveillance

Content Provider	IEEE Xplore Digital Library
Author	Hui Cheng Butler, D. Basu, C.
Copyright Year	2006
Description	Author affiliation: Sarnoff Corporation, 201 Washington Rd, Princeton, NJ (Hui Cheng)
Abstract	Given the huge amount of aerial surveillance video, captured daily, an automated video understanding system is needed to extract information and to generate metadata that is easy to search, browse and summarize, and which can be readily understood by an end user. In this paper, we propose a Video-To-Text engine called ViTex that automatically generates text descriptions of the content of a video. The ViTex engine first segments an input video sequence according to pre-defined semantic classes using a Mixture-of- Expert blob segmentation algorithm. The resulting segmentation is coerced into a semantic concept graph and based on domain knowledge and a semantic concept hierarchy. Then, the initial semantic concept graph is summarized and pruned. Finally, according to the summarized semantic concept graph and its changes over time, text descriptions are automatically generated using one of the three description schemes: key-frame, key-object and key-change descriptions. We have applied the ViTex engine to aerial surveillance video and compared its performance with ground-truth text descriptions generated by humans.
Starting Page	586
Ending Page	593
File Size	437693
Page Count	8
File Format	PDF
ISBN	0769525970
ISSN	10636919
DOI	10.1109/CVPR.2006.332
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video surveillance Data mining Engines Videoconference Layout Research and development Video sequences Humans National security Natural languages
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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

Space-Time Video Montage

Interactive montages of sprites for indexing and summarizing security video

Augmented reality through real-time tracking of video sequences using a panoramic view

A Probabilistic Model for Surveillance Video Mining

Learning Dynamic Event Descriptions in Image Sequences

Synchronizing video sequences

Human-Focused Computer Vision Applications

JPDAF based HMM for real-time contour tracking

Depth layers from occlusions

ViTex: Video To Tex and Its Application in Aerial Video Surveillance

Similar Documents

Space-Time Video Montage

Interactive montages of sprites for indexing and summarizing security video

Augmented reality through real-time tracking of video sequences using a panoramic view

A Probabilistic Model for Surveillance Video Mining

Learning Dynamic Event Descriptions in Image Sequences

Synchronizing video sequences

Human-Focused Computer Vision Applications

JPDAF based HMM for real-time contour tracking

Depth layers from occlusions

ViTex: Video To Tex and Its Application in Aerial Video Surveillance