More Web Proxy on the site http://driver.im/

Article

Forensic video reconstruction

Authors:

Rahul Sukthankar,

Jason Campbell,

Padmanabhan PillaiAuthors Info & Claims

VSSN '04: Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks

Pages 20 - 28

https://doi.org/10.1145/1026799.1026805

Published: 15 October 2004 Publication History

Abstract

This paper describes an application that enables quick reconstruction of interconnected events, sparsely captured by one or more surveillance cameras. Unlike related efforts, our approach does not require indexing, advance knowledge of potential search criteria, nor a solution to the generalized object-recognition problem. Instead, we strategically pair the intelligence and skill of a human investigator with the speed and flexibility of a parallel image search engine that exploits local storage and processing capabilities distributed across large collections of video recording devices. The result is a system for fast, interactive, brute-force video searching which is both effective and highly scalable.

References

[1]

A. Acharya, M. Uysal, and J. Saltz. Active disks: Programming model, algorithms and evaluation. In Proceedings of ASPLOS, 1998.

Digital Library

[2]

C. Carson, S. Belongie, H. Greenspan, and J. Malik. Blobworld: Image segmentation using expectation-maximization and its application to image querying. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(8), 2002.

Digital Library

[3]

R. Collins, A. Lipton, and T. Kanade. A system for video surveillance and monitoring. In Proceedings of the American Nuclear Society (ANS) Eighth International Topical Meeting on Robotics and Remote Systems, 1999.

[4]

C. Faloutsos, R. Barber, M. Flickner, J. Hafner, W. Niblack, D. Petkovic, and W. Equitz. Efficient and effective querying by image content. Journal of Intelligent Information Systems, 3(3/4), 1994.

Digital Library

[5]

M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker. Query by image and video content: the QBIC system. IEEE Computer, 28, 1995.

Digital Library

[6]

D. Forsyth and J. Ponce. Computer vision: a modern approach. Prentice Hall, 2002.

Digital Library

[7]

W. Grimson, C. Stauffer, R. Romano, and L. Lee. Using adaptive tracking to classify and monitor activities in a site. In Proceedings of IEEE Computer Vision and Pattern Recognition,1998.

Digital Library

[8]

J. Hellerstein, R. Avnur, A. Chou, C. Hidber, V. Raman, T. Roth, and P. Haas. Interactive data analysis: The CONTROL project. IEEE Computer, August 1999.

Digital Library

[9]

J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler, and K. Pister. System architecture directions for networked sensors. In Architectural Support for Programming Languages and Operating Systems, pages 93--104, 2000.

Digital Library

[10]

L. Huston, R. Sukthankar, R. Wickremesinghe, M. Satyanarayanan, G. R. Ganger, E. Riedel, and A. Ailamaki. Diamond: A storage architecture for early discard in interactive search. In Proceedings of USENIX Conference on File and Storage Technologies (FAST), 2004.

Digital Library

[11]

K. Keeton, D. Patterson, and J. Hellerstein. A case for intelligent disks (IDISKs). SIGMOD Record, 27(3), 1998.

Digital Library

[12]

R. Min, M. Bhardwaj, S. Cho, A. Sinha, E. Shih, A. Wang, and A.Chandrakasan. Low-power wireless sensor networks. Proceedings of VLSI Design, 2001.

Digital Library

[13]

S. Nath, A. Deshpande, Y. Ke, P. Gibbons, B. Karp, and S. Seshan. Irisnet: An architecture for internet-scale sensing services. In Proceedings of VLDB, 2003.

Digital Library

[14]

P. Pillai, Y. Ke, and J. Campbell. Multi-fidelity storage. In Proceedings of ACM Workshop on Visual Surveillance and Sensor Networks, 2004.

Digital Library

[15]

E. Riedel, G. Gibson, and C. Faloutsos. Active storage for large-scale data mining and multimedia. In Proceedings of VLDB, August 1998.

Digital Library

[16]

H. Rowley, S. Baluja, and T. Kanade. Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(1), 1998.

Digital Library

[17]

Y. Rubner, C. Tomasi, and L. J. Guibas. The earth mover's distance as a metric for image retrieval. International Journal of Computer Vision, 40(2), 2000.

Digital Library

[18]

H. Schneiderman and T. Kanade. A statistical model for 3D object detection applied to faces and cars. In Proceedings of IEEE Computer Vision and Pattern Recognition, 2000.

[19]

M. Swain and B. Ballard. Color indexing. International Journal of Computer Vision, 7, 1991.

Digital Library

[20]

P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proceedings of IEEE Computer Vision and Pattern Recognition, 2001.

Cited By

Kim BYoon Y(2020)Three-dimensional reconstruction of human shapes based on the forensic videosJournal of Digital Contents Society10.9728/dcs.2020.21.7.120121:7(1201-1210)Online publication date: 31-Jul-2020
https://doi.org/10.9728/dcs.2020.21.7.1201
Pyo YLee CLee H(2017)Visual analysis of corrupted video data in video event data recorders2017 IEEE Conference on Dependable and Secure Computing10.1109/DESEC.2017.8073828(453-458)Online publication date: Aug-2017
https://doi.org/10.1109/DESEC.2017.8073828
Na GShim KMoon KKong SKim ELee J(2014)Frame-Based Recovery of Corrupted Video Files Using Video Codec SpecificationsIEEE Transactions on Image Processing10.1109/TIP.2013.228562523:2(517-526)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1109/TIP.2013.2285625
Show More Cited By

Index Terms

Forensic video reconstruction

Recommendations

Interactive Search vs. Automatic Search: An Extensive Study on Video Retrieval

This article conducts user evaluation to study the performance difference between interactive and automatic search. Particularly, the study aims to provide empirical insights of how the performance landscape of video search changes, with tens of ...
Reducing Click and Skip Errors in Search Result Ranking
WSDM '16: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining

Search engines provide result summaries to help users quickly identify whether or not it is worthwhile to click on a result and read in detail. However, users may visit non-relevant results and/or skip relevant ones. These actions are usually harmful to ...
Balancing thread based navigation for targeted video search
CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

Various query methods for video search exist. Because of the semantic gap each method has its limitations. We argue that for effective retrieval query methods need to be combined at retrieval time. However, switching query methods often involves a ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

VSSN '04: Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks

October 2004

152 pages

ISBN:1581139349

DOI:10.1145/1026799

Conference Chairs:
Edward Chang
University of California, Santa Barbara
,
Yuan-Fang Wang
University of California, Santa Barbara
,
Feng Zhao
Microsoft Research

Copyright © 2004 ACM.

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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

MM04

Sponsor:

MM04: 2004 12th Annual ACM International Conference on Multimedia

October 15, 2004

NY, New York, USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
671
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 09 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Kim BYoon Y(2020)Three-dimensional reconstruction of human shapes based on the forensic videosJournal of Digital Contents Society10.9728/dcs.2020.21.7.120121:7(1201-1210)Online publication date: 31-Jul-2020
https://doi.org/10.9728/dcs.2020.21.7.1201
Pyo YLee CLee H(2017)Visual analysis of corrupted video data in video event data recorders2017 IEEE Conference on Dependable and Secure Computing10.1109/DESEC.2017.8073828(453-458)Online publication date: Aug-2017
https://doi.org/10.1109/DESEC.2017.8073828
Na GShim KMoon KKong SKim ELee J(2014)Frame-Based Recovery of Corrupted Video Files Using Video Codec SpecificationsIEEE Transactions on Image Processing10.1109/TIP.2013.228562523:2(517-526)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1109/TIP.2013.2285625
Poisel RTjoa S(2011)Forensics Investigations of Multimedia DataProceedings of the 2011 Sixth International Conference on IT Security Incident Management and IT Forensics10.1109/IMF.2011.14(48-61)Online publication date: 10-May-2011
https://dl.acm.org/doi/10.1109/IMF.2011.14
DeCamp PShaw GKubat RRoy Ddel Bimbo AChang SSmeulders A(2010)An immersive system for browsing and visualizing surveillance videoProceedings of the 18th ACM international conference on Multimedia10.1145/1873951.1874002(371-380)Online publication date: 25-Oct-2010
https://dl.acm.org/doi/10.1145/1873951.1874002
Buono PSimeone A(2010)Video abstraction and detection of anomalies by tracking movementsProceedings of the International Conference on Advanced Visual Interfaces10.1145/1842993.1843036(249-252)Online publication date: 26-May-2010
https://dl.acm.org/doi/10.1145/1842993.1843036
Girgensohn AKimber DVaughan JYang TShipman FTurner TRieffel EWilcox LChen FDunnigan TLienhart RPrasad AHanjalic AChoi SBailey BSebe N(2007)DOTSProceedings of the 15th ACM international conference on Multimedia10.1145/1291233.1291332(423-432)Online publication date: 29-Sep-2007
https://dl.acm.org/doi/10.1145/1291233.1291332
Girgensohn AShipman FTurner TWilcox LRosson MGilmore D(2007)Effects of presenting geographic context on tracking activity between camerasProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1240624.1240801(1167-1176)Online publication date: 29-Apr-2007
https://dl.acm.org/doi/10.1145/1240624.1240801
Girgensohn AShipman FDunnigan ATurner TWilcox LAggarwal JCucchiara RPrati A(2006)Support for effective use of multiple video streams in securityProceedings of the 4th ACM international workshop on Video surveillance and sensor networks10.1145/1178782.1178787(19-26)Online publication date: 27-Oct-2006
https://dl.acm.org/doi/10.1145/1178782.1178787

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.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten