VideoRoadMap: A system for interactive classification and indexing of still and motion pictures

Sethuraman Panchanathan; F. Golshani; Y. C. Park

VideoRoadMap: A system for interactive classification and indexing of still and motion pictures

Sethuraman Panchanathan, F. Golshani, Y. C. Park

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. VideoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on content of media objects resulting in accurate retrieval. In addition, VideoRoadMap includes a powerful multi-faceted querying mechanism, which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, query by object motion trajectory.

Original language	English (US)
Title of host publication	Conference Record - IEEE Instrumentation and Measurement Technology Conference
Editors	Anon
Publisher	IEEE
Pages	18-21
Number of pages	4
Volume	1
State	Published - 1998
Event	Proceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2) - St.Paul, MN, USA Duration: May 18 1998 → May 21 1998

Other

Other	Proceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2)
City	St.Paul, MN, USA
Period	5/18/98 → 5/21/98

ASJC Scopus subject areas

Instrumentation

Cite this

Panchanathan, S, Golshani, F & Park, YC 1998, VideoRoadMap: A system for interactive classification and indexing of still and motion pictures. in Anon (ed.), Conference Record - IEEE Instrumentation and Measurement Technology Conference. vol. 1, IEEE, pp. 18-21, Proceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2), St.Paul, MN, USA, 5/18/98.

@inproceedings{a0df7693d05f40ec950b0b01ccc6bfd3,

title = "VideoRoadMap: A system for interactive classification and indexing of still and motion pictures",

abstract = "The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. VideoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on content of media objects resulting in accurate retrieval. In addition, VideoRoadMap includes a powerful multi-faceted querying mechanism, which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, query by object motion trajectory.",

author = "Sethuraman Panchanathan and F. Golshani and Park, {Y. C.}",

year = "1998",

language = "English (US)",

volume = "1",

pages = "18--21",

editor = "Anon",

booktitle = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

publisher = "IEEE",

note = "Proceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2) ; Conference date: 18-05-1998 Through 21-05-1998",

}

TY - GEN

T1 - VideoRoadMap

T2 - Proceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2)

AU - Panchanathan, Sethuraman

AU - Golshani, F.

AU - Park, Y. C.

PY - 1998

Y1 - 1998

N2 - The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. VideoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on content of media objects resulting in accurate retrieval. In addition, VideoRoadMap includes a powerful multi-faceted querying mechanism, which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, query by object motion trajectory.

AB - The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. VideoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on content of media objects resulting in accurate retrieval. In addition, VideoRoadMap includes a powerful multi-faceted querying mechanism, which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, query by object motion trajectory.

UR - http://www.scopus.com/inward/record.url?scp=0031649829&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031649829&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031649829

VL - 1

SP - 18

EP - 21

BT - Conference Record - IEEE Instrumentation and Measurement Technology Conference

A2 - Anon, null

PB - IEEE

Y2 - 18 May 1998 through 21 May 1998

ER -

VideoRoadMap: A system for interactive classification and indexing of still and motion pictures

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this