@inproceedings{li2004fast,
abstract = {Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platforms, and shared over different communication channels. In this work we present a fast retrieval algorithm based on matching the geometry of video sequence traces in the principal component space. Techniques to address scale (spatial and temporal) issues, as well as, noise and other possible distortions, such as frame dropping, are discussed. Experimental results demonstrate the effectiveness of the proposed approach. {\textcopyright} 2004 IEEE.},
author = {{Zhu Li} and Katsaggelos, Aggelos K A.K. and Gandhi, Bhavan and Li, Zhu and Katsaggelos, Aggelos K A.K. and Gandhi, Bhavan},
booktitle = {2004 International Conference on Image Processing, 2004. ICIP'04.},
doi = {10.1109/ICIP.2004.1421374},
isbn = {0-7803-8554-3},
issn = {15224880},
organization = {IEEE},
pages = {1601--1604},
publisher = {IEEE},
title = {{Fast video shot retrieval by trace geometry matching in principal component space}},
url = {http://ieeexplore.ieee.org/document/1421374/},
volume = {3},
year = {2004}
}

{"_id":"3jrasd4g4ZotYcauj","bibbaseid":"zhuli-katsaggelos-gandhi-li-katsaggelos-gandhi-fastvideoshotretrievalbytracegeometrymatchinginprincipalcomponentspace-2004","author_short":["Zhu Li","Katsaggelos, A. K A.","Gandhi, B.","Li, Z.","Katsaggelos, A. K A.","Gandhi, B."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","abstract":"Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platforms, and shared over different communication channels. In this work we present a fast retrieval algorithm based on matching the geometry of video sequence traces in the principal component space. Techniques to address scale (spatial and temporal) issues, as well as, noise and other possible distortions, such as frame dropping, are discussed. Experimental results demonstrate the effectiveness of the proposed approach. © 2004 IEEE.","author":[{"firstnames":[],"propositions":[],"lastnames":["Zhu Li"],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["Aggelos","K","A.K."],"suffixes":[]},{"propositions":[],"lastnames":["Gandhi"],"firstnames":["Bhavan"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Zhu"],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["Aggelos","K","A.K."],"suffixes":[]},{"propositions":[],"lastnames":["Gandhi"],"firstnames":["Bhavan"],"suffixes":[]}],"booktitle":"2004 International Conference on Image Processing, 2004. ICIP'04.","doi":"10.1109/ICIP.2004.1421374","isbn":"0-7803-8554-3","issn":"15224880","organization":"IEEE","pages":"1601–1604","publisher":"IEEE","title":"Fast video shot retrieval by trace geometry matching in principal component space","url":"http://ieeexplore.ieee.org/document/1421374/","volume":"3","year":"2004","bibtex":"@inproceedings{li2004fast,\nabstract = {Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platforms, and shared over different communication channels. In this work we present a fast retrieval algorithm based on matching the geometry of video sequence traces in the principal component space. Techniques to address scale (spatial and temporal) issues, as well as, noise and other possible distortions, such as frame dropping, are discussed. Experimental results demonstrate the effectiveness of the proposed approach. {\\textcopyright} 2004 IEEE.},\nauthor = {{Zhu Li} and Katsaggelos, Aggelos K A.K. and Gandhi, Bhavan and Li, Zhu and Katsaggelos, Aggelos K A.K. and Gandhi, Bhavan},\nbooktitle = {2004 International Conference on Image Processing, 2004. ICIP'04.},\ndoi = {10.1109/ICIP.2004.1421374},\nisbn = {0-7803-8554-3},\nissn = {15224880},\norganization = {IEEE},\npages = {1601--1604},\npublisher = {IEEE},\ntitle = {{Fast video shot retrieval by trace geometry matching in principal component space}},\nurl = {http://ieeexplore.ieee.org/document/1421374/},\nvolume = {3},\nyear = {2004}\n}\n","author_short":["Zhu Li","Katsaggelos, A. K A.","Gandhi, B.","Li, Z.","Katsaggelos, A. K A.","Gandhi, B."],"key":"li2004fast","id":"li2004fast","bibbaseid":"zhuli-katsaggelos-gandhi-li-katsaggelos-gandhi-fastvideoshotretrievalbytracegeometrymatchinginprincipalcomponentspace-2004","role":"author","urls":{"Paper":"http://ieeexplore.ieee.org/document/1421374/"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://sites.northwestern.edu/ivpl/files/2023/06/IVPL_Updated_publications-1.bib","dataSources":["XasdXLL99y5rygCmq","3gkSihZQRfAD2KBo3","t5XMbyZbtPBo4wBGS","bEpHM2CtrwW2qE8FP","teJzFLHexaz5AQW5z"],"keywords":[],"search_terms":["fast","video","shot","retrieval","trace","geometry","matching","principal","component","space","zhu li","katsaggelos","gandhi","li","katsaggelos","gandhi"],"title":"Fast video shot retrieval by trace geometry matching in principal component space","year":2004}