research-article

Efficient search: the informedia video retrieval system

Authors:

Alexander G. Hauptmann,

Jonathan J. Wang,

Wei-Hao Lin,

Jun Yang,

Michael ChristelAuthors Info & Claims

CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

Pages 543 - 544

https://doi.org/10.1145/1386352.1386422

Published: 07 July 2008 Publication History

Get Access

Abstract

We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after an automatic system has done its best to arrange the images in order of relevance. While extreme video retrieval is taxing to the human, it has also been shown to be very effective. The system will demonstrate several ways to rapidly scan images, change search queries, and employ different types of relevance feedback.

References

[1]

A. Hauptmann, W.-H. Lin, R. Yan, J. Yang, M.-Y. Chen Extreme Video Retrieval: Joint Maximization of Human and Computer Performance, In Proc. of 8th ACM Multimedia 2006, Oct. 23-27, 2006, Santa Barbara, CA

Digital Library

Google Scholar

[2]

Yang, J., Jiang Y.G., Hauptmann, A. and Ngo, C.W. 2007, Evaluating bag-of-visual-word representation in scene classification, MIR'07 ACMMM, September 2007

Digital Library

Google Scholar

Cited By

View all

Zahalka JWorring MVan Wijk J(2021)II-20: Intelligent and pragmatic analytic categorization of image collectionsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303038327:2(422-431)Online publication date: Feb-2021
https://doi.org/10.1109/TVCG.2020.3030383
Zahalka JWorring M(2014)Towards interactive, intelligent, and integrated multimedia analytics2014 IEEE Conference on Visual Analytics Science and Technology (VAST)10.1109/VAST.2014.7042476(3-12)Online publication date: Oct-2014
https://doi.org/10.1109/VAST.2014.7042476
Giordano DKavasidis IPino CSpampinato C(2011)A semantic-based and adaptive architecture for automatic multimedia retrieval composition2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2011.5972542(181-186)Online publication date: Jun-2011
https://doi.org/10.1109/CBMI.2011.5972542

Index Terms

Efficient search: the informedia video retrieval system
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

Recommendations

Mutual relevance feedback for multimodal query formulation in video retrieval
MIR '05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval

Video indexing and retrieval systems allow users to find relevant video segments for a given information need. A multimodal video index may include speech indices, a text-from-screen (OCR) index, semantic visual concepts, content-based image features, ...
Cross-media retrieval using query dependent search methods

The content-based cross-media retrieval is a new type of multimedia retrieval in which the media types of query examples and the returned results can be different. In order to learn the semantic correlations among multimedia objects of different ...
Efficient target search with relevance feedback for large CBIR systems
SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

Recent content-based image retrieval (CBIR) techniques were designed around query refinement based on relevance feedback. They suffer from slow convergence, high disk I/O, and do not even guarantee to find intended targets. In this paper, we identify ...

Comments

Information & Contributors

Information

Published In

CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

July 2008

674 pages

ISBN:9781605580708

DOI:10.1145/1386352

General Chairs:
Jiebo Luo
Kodak Research Laboratories
,
Ling Guan
Ryerson University
,
Program Chairs:
Alan Hanjalic
Delft University of Technology
,
Mohan Kankanhalli
National University of Singapore
,
Ivan Lee
University of South Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CIVR08

Sponsor:

CIVR08: CIVR'08 - International Conference on Content-based Image and Video Retrieval

July 7 - 9, 2008

Niagara Falls, Canada

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
234
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zahalka JWorring MVan Wijk J(2021)II-20: Intelligent and pragmatic analytic categorization of image collectionsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303038327:2(422-431)Online publication date: Feb-2021
https://doi.org/10.1109/TVCG.2020.3030383
Zahalka JWorring M(2014)Towards interactive, intelligent, and integrated multimedia analytics2014 IEEE Conference on Visual Analytics Science and Technology (VAST)10.1109/VAST.2014.7042476(3-12)Online publication date: Oct-2014
https://doi.org/10.1109/VAST.2014.7042476
Giordano DKavasidis IPino CSpampinato C(2011)A semantic-based and adaptive architecture for automatic multimedia retrieval composition2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)10.1109/CBMI.2011.5972542(181-186)Online publication date: Jun-2011
https://doi.org/10.1109/CBMI.2011.5972542

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Mutual relevance feedback for multimodal query formulation in video retrieval

Cross-media retrieval using query dependent search methods

Efficient target search with relevance feedback for large CBIR systems

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations