Filters








1,699 Hits in 4.1 sec

Content-based video retrieval: Three example systems from TRECVid

Alan F. Smeaton, Peter Wilkins, Marcel Worring, Ork de Rooij, Tat-Seng Chua, Huanbo Luan
2008 International journal of imaging systems and technology (Print)  
The contribution of our article is to show that retrieving from video using content-based methods is now viable, that it works, and that there are many systems which now do this, such as the three outlined  ...  In this article, we show three exemplar systems which demonstrate the state of the art in interactive, content-based retrieval of video shots, and these three are just three of the more than 20 systems  ...  We now describe three systems to illustrate the capabilities of content-based video retrieval within TRECVid. A. Dublin City Universty/K-Space Interactive Video Retrieval.  ... 
doi:10.1002/ima.20150 fatcat:zq4xgfb5lfgfpaohrnpir4wnw4

Automated Content Based Video Retrieval

Srdan Zagorac, Ainhoa Llorente, Suzanne Little, Haiming Liu, Stefan M. Rüger
2009 TREC Video Retrieval Evaluation  
The system was based on determining the distance from a query image to a pre-indexed collection of images to build a list of results ordered by similarity.  ...  System Our system is based on determining the distance from a query image to a pre-indexed collection of images to build a list of results ordered by visual similarity [6] .  ...  The video media examples for each query were processed to extract a frame from the beginning, middle and end of the example to improve the query coverage.  ... 
dblp:conf/trecvid/ZagoracLLLR09 fatcat:gvw552rjtjhvppj2uoguyuv3qi

Evaluating content-based filters for image and video retrieval

Michael G. Christel, Neema Moraveji, Chang Huang
2004 Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04  
This paper explores the relationship between metadata accuracy and effectiveness of retrieval using an amateur photo collection, documentary video, and news video.  ...  The accuracy of the feature classification is varied from performance typical of automated classifications today to ideal performance taken from manually generated truth data.  ...  We look at how filters are used against candidate set sizes of 120, 240, 480, and 960, for three corpora: documentaries from TRECVID 2002, news from TRECVID 2003, and photos.  ... 
doi:10.1145/1008992.1009135 dblp:conf/sigir/ChristelMH04 fatcat:kphezkd5ordkvgfmfnlpmkesqa

Semantic visual features in content-based video retrieval

Xiangming Mu
2007 Proceedings of the American Society for Information Science and Technology  
A pilot evaluation was conducted to compare the effectiveness of three video retrieval designs that support 1) temporal neighbor browsing; 2) semantic visual feature browsing; and 3) fused browsing which  ...  ., car, mountain, and fire) navigation technology is proposed to improve the effectiveness of video retrieval.  ...  Acknowledgement Thanks to the TRECVID2005 project for providing videos and metadata. My colleagues, Dr. Dietmar Wolfram and Dr.  ... 
doi:10.1002/meet.1450430153 fatcat:7u7n6ldv4zd3zbvok5tshqb4nu

The relative effectiveness of concept-based versus content-based video retrieval

Meng Yang, Barbara M. Wildemuth, Gary Marchionini
2004 Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04  
Three video search systems were compared in the interactive search task at the TRECVID 2003 workshop: a text-only system, which searched video shots through transcripts; a features-only system, which searched  ...  Further analysis showed that concept-based video retrieval worked best for specific topics, whereas the hybrid retrieval techniques which combine both concept-and content-based video retrieval showed some  ...  We compared the effectiveness of three types of news video search systems: a text-only/concept-based system, a features-only/content-based system, and a combined/hybrid system.  ... 
doi:10.1145/1027527.1027613 dblp:conf/mm/YangWM04 fatcat:cujyigtny5dgtb2shp5ftbr3bm

Analysis and Detection of Content based Video Retrieval

Shivanand S Gornale, Ashvini K Babaleshwar, K Babaleshwar
2019 International Journal of Image Graphics and Signal Processing  
Content Based Video Retrieval (CBVR) System has been investigated over past decade it's rooted in many applications like developments and technologies.  ...  The demand for extraction of high level semantics contents as well as handling of low level contents in video retrieval systems are still in need.  ...  The comprehensive review of content based video retrieval system has been presented in this paper.  ... 
doi:10.5815/ijigsp.2019.03.06 fatcat:mzlxdk3omjh2vflv66n4agprwu

AT&T Research at TRECVID 2009 Content-based Copy Detection

Zhu Liu, Behzad Shahraray, Tao Liu
2009 TREC Video Retrieval Evaluation  
AT&T participated in one evaluation task at TRECVID 2009: the content-based copy detection (CBCD) task.  ...  In the proposed CBCD framework, we employed local visual features to match the video content, and adopted locality sensitive hashing techniques to maintain the scalability and the robustness of our approach  ...  In total, we submitted three video based CBCD runs: one for NoFA and two for balanced profile. Evaluation results show that our system is effective and accurate.  ... 
dblp:conf/trecvid/LiuSL09 fatcat:ig7nk5cmprdrhogjuyyue5t3nu

Telefonica Research Content-Based Copy Detection TRECVID Submission

Xavier Anguera, Pere Obrador, Tomasz Adamek, David Marimon, Nuria Oliver
2009 TREC Video Retrieval Evaluation  
This notebook paper presents the systems presented by Telefonica Research within the MESH team for the task of Video copy detection in TRECVID 2009.  ...  Our main contribution is the combination (when possible) of audio and video features within the same system by using global features extracted both from the reference videos and the queries.  ...  The algorithm works as follows: 1) Retrieve/compute all three available image/based features from the video being considered, normalize them to unit variance and zero mean and compute their average into  ... 
dblp:conf/trecvid/AngueraOAMO09 fatcat:jdgy3syfzfdcvlpxph7o7yf2ti

NTNU-Academia Sinica at TRECVID 2010 Content Based Copy Detection

Mei-Chen Yeh, Chao-Yung Hsu, Chun-Shien Lu
2010 TREC Video Retrieval Evaluation  
This paper presents two video copy detection systems built for the TRECVID 2010 content-based copy detection task. Three runs were submitted using video-only content.  ...  In this paper we overview the underlying methodologies and discuss the various design choices for developing a practical video copy detection system.  ...  CONCLUSIONS We developed two systems for the TRECVID 2010 content-based copy detection task.  ... 
dblp:conf/trecvid/YehHL10 fatcat:tiwa6xwconfg3nsjgenxpcgcj4

Analysing the performance of visual, concept and text features in content-based video retrieval

Mika Rautiainen, Timo Ojala, Tapio Sepp�nen
2004 Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval - MIR '04  
Experiments focus on measuring content-based video retrieval performance with following search cues: visual features, semantic concepts and text.  ...  This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark.  ...  (left) Interactive interface for content-based browsing of video shots (right) Query formulation view that was used to formulate manual topic queries  ... 
doi:10.1145/1026711.1026744 dblp:conf/mir/RautiainenOS04 fatcat:bqae3m3ujbb4xjmjp2zdqk63oq

Telefonica Research at TRECVID 2011 Content-Based Copy Detection

Xavier Anguera, Tomasz Adamek, Daru Xu, Juan Manuel Barrios
2011 TREC Video Retrieval Evaluation  
This year we have focused on 1) Improving the image-based matching system to better process video files; 2) implemented and tested a novel audio local fingerprint; and 3) improved the multimodality fusion  ...  This notebook paper summarizes the algorithms behind Telefonica Research participation in the NIST-TRECVID 2011 evaluation on the Video Copy Detection task.  ...  In NIST-TRECVID video copy detection task, the focal point is to evaluate content-based approaches.  ... 
dblp:conf/trecvid/AngueraAXB11 fatcat:evwqqyk2urhvhhsdz3pthr55cm

Video Content Browsing Based on Iterative Feature Clustering for Rushes Exploitation

Werner Bailer, Christian Schober, Georg Thallinger
2006 TREC Video Retrieval Evaluation  
Rushes Exploitation We have implemented a feature-independent framework for video content browsing, which is based on iterative clustering and filtering of the content set.  ...  We have evaluated the tool on the TRECVID rushes data with four browsing tasks defined by a textual description of the material.  ...  Acknowledgements The authors would like to thank their colleagues at the Institute of Information Systems of JOANNEUM RESEARCH for their support and feedback, especially Philipp Schügerl, Andreas Kriechbaum  ... 
dblp:conf/trecvid/BailerST06 fatcat:urdiwhmwnje6xev7qmdrpaqfqe

Telefonica Research at TRECVID 2010 Content-Based Copy Detection

Ehsan Younessian, Xavier Anguera, Tomasz Adamek, Nuria Oliver
2010 TREC Video Retrieval Evaluation  
They are based on the fusion between the local audio and local video monomodal systems. • TID.m.BALANCED.videoonly: This submission is based on the monomodal video-based system using DART local features  ...  This notebook paper presents the participation of Telefonica Research in the task of Video Copy Detection in TRECVID 2010.  ...  On the other hand through content-based approach, a set of content-based features are extracted from the video and are utilized to locate copied segments of query video from reference video dataset.  ... 
dblp:conf/trecvid/YounessianAAO10 fatcat:fjahcf3so5aw3elv4ftedrqur4

VERGE: A video interactive retrieval engine

Stefanos Vrochidis, Anastasia Moumtzidou, Paul King, Anastasios Dimou, Vasileios Mezaris, Ioannis Kompatsiaris
2010 2010 International Workshop on Content Based Multimedia Indexing (CBMI)  
This paper presents the video retrieval engine VERGE, which combines indexing, analysis and retrieval techniques in various modalities (i.e. textual, visual and concept search).  ...  This fact places the need for the development of advanced video search engines that extend beyond traditional text retrieval and exploit modern image and video analysis techniques, such as content-based  ...  System Description VERGE is an interactive video retrieval system, which realizes the framework of Figure 1 .  ... 
doi:10.1109/cbmi.2010.5529884 dblp:conf/cbmi/VrochidisMKDMK10 fatcat:w3qdqrbhdje7nal4xvadgqhqiu

CRIM AT TRECVID-2011: Content-Based Copy Detection using Nearest-Neighbor Mapping

Vishwa Gupta, Parisa Darvish Zadeh Varcheie, Langis Gagnon, Gilles Boulianne
2011 TREC Video Retrieval Evaluation  
We report results on content-based audio and video copy detection for TRECVID 2011 CBCD evaluation using nearest-neighbor mapping.  ...  We test these algorithms on TRECVID 2009 and 2010 content-based copy detection evaluation data.  ...  The content-based copy detection got a big boost with the TRECVID-2008 CBCD (content-based copy detection) evaluation, and has continued with TRECVID 2009, 2010, and 2011 evaluations.  ... 
dblp:conf/trecvid/GuptaVGB11 fatcat:6tkewdgbdzcadftlmnyxmzsicq
« Previous Showing results 1 — 15 out of 1,699 results