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K-Space at TRECVID 2007

Peter Wilkins, Tomasz Adamek, Daragh Byrne, Gareth J. F. Jones, Hyowon Lee, Gordon Keenan, Kevin McGuinness, Noel E. O'Connor, Alan F. Smeaton, Alia Amin, Zeljko Obrenovic, Rachid Benmokhtar (+23 others)
2007 TREC Video Retrieval Evaluation  
Acknowledgments The research leading to this paper was supported by the European Commission under contract FP6-027026 (K-Space).  ...  This paper describes the K-Space participation in TRECVid 2007.  ...  Conclusion We have presented the K-Space participation in TRECVid 2007.  ... 
dblp:conf/trecvid/WilkinsABJLKMOSAOBGHELVPVMKSAMSBPCIHGSCSP07 fatcat:xvegdrcqmjfp3avqitwnq3rhgq

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)  
iteration of the annual TRECVid benchmarking activity.  ...  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 developed for the 2007  ...  The team from Dublin City University led a TRECVid 2007 submission on behalf of the K-Space consortium, a large European multisite grouping with an interest in semantic multimedia information management  ... 
doi:10.1002/ima.20150 fatcat:zq4xgfb5lfgfpaohrnpir4wnw4

The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007

Ming-Fang Weng, Chun-Kang Chen, Yi-Hsuan Yang, Rong-En Fan, Yu-Ting Hsieh, Yung-Yu Chuang, Winston H. Hsu, Chih-Jen Lin
2007 TREC Video Retrieval Evaluation  
In TRECVID 2007 high-level feature (HLF) detection, we extend the well-known LIBSVM and develop a toolkit specifically for HLF detection.  ...  After another cross-validation on the TRECVID 2007 development data set, we decide to adopt chi-square test to measure the temporal dependency at each temporal distance and take its values as weighting  ...  Evaluation on TRECVID 2007 shows that both of them help TV07 classifiers improve achieve much improvement.  ... 
dblp:conf/trecvid/WengCYFHCHL07 fatcat:mych2v2utzdwhncc5zz3kxpede

Automatic Summarization of Rushes Video Using Bipartite Graphs [chapter]

Liang Bai, Songyang Lao, Alan F. Smeaton, Noel E. O'Connor
2008 Lecture Notes in Computer Science  
In order to evaluate the effectiveness of this approach we re-run the evaluation carried out 1 The original publication is available at www.springerlink.com.  ...  in TRECVid 2007.  ...  Indeed the useful duration limit in the TRECVid summarisation guidelines was set at 4% of the original video in 2007, and 2% of the original video in 2008.  ... 
doi:10.1007/978-3-540-92235-3_3 fatcat:kwj7aftpnrds7oexr76xo454xm

TRECVid 2007 Experiments at Dublin City University

Peter Wilkins, Tomasz Adamek, Gareth J. F. Jones, Noel E. O'Connor, Alan F. Smeaton
2007 TREC Video Retrieval Evaluation  
In this paper we describe our retrieval system and experiments performed for the automatic search task in TRECVid 2007.  ...  Made use of query-time generation of retrieval expert coefficients for fusion. • F A 2 DCU-ImgOnlyEnt5 : Automatic generation of retrieval expert coefficients for fusion at index time. • F A 2 DCU-imgOnlyEntHigh3  ...  Acknowledgements This work was partially supported by Science Foundation Ireland under grant 03/IN.3/I361 and by the European Commission under contract FP6-027026 (K-Space).  ... 
dblp:conf/trecvid/WilkinsAJOS07 fatcat:kgcibmabzrd7xf6znqyzfsbo5u

Automatic summarization of rushes video using bipartite graphs

Liang Bai, Yanli Hu, Songyang Lao, Alan F. Smeaton, Noel E. O'Connor
2009 Multimedia tools and applications  
In order to evaluate the effectiveness of this approach we re-run the evaluation carried out 1 The original publication is available at www.springerlink.com.  ...  in TRECVid 2007.  ...  Indeed the useful duration limit in the TRECVid summarisation guidelines was set at 4% of the original video in 2007, and 2% of the original video in 2008.  ... 
doi:10.1007/s11042-009-0398-1 fatcat:p66btvz5mrgzje7wvaa5kqukj4

Glasgow University at TRECVID 2007

P. Punitha, Joemon M. Jose
2007 TREC Video Retrieval Evaluation  
In this paper we describe our experiments in the automatic search task of TRECVid 2007. For this we have implemented a new video search technique based on SIFT features and manual annotation.  ...  Acknowledgements The research leading to this paper was supported by European Commission under contracts FP6-027026(K-Space) and FP6-027122(Salero).  ...  The first author acknowledges the kind help rendered by Frank Hopfgartner at various stages of submission.  ... 
dblp:conf/trecvid/PunithaJ07 fatcat:rpyp6wtlvjbsrkgb35ll2roami

[Invited Paper] Semantic Indexing for Large-Scale Video Retrieval

Nakamasa Inoue, Koichi Shinoda
2016 ITE Transactions on Media Technology and Applications  
We also show the TokyoTech system using Gaussian-mixture-model (GMM) supervectors and deep convolutional neural networks (CNNs) with its experimental evaluation at TRECVID 2014.  ...  This paper reviews TRECVID activities with these techniques for semantic indexing.  ...  For example, the best system at the TRECVID 2014 is a hybrid system 70) of bag-of-words and deep learning.  ... 
doi:10.3169/mta.4.209 fatcat:pewjuvxonfgxnm5onv5e5xyvlu

Bilkent University at TRECVID 2007

Sercan Aksoy, Pinar Duygulu, Cem Aksoy, E. Aydin, D. Günaydin, K. Hadimh, L. Koç, Y. Olgun, C. Orhan, G. Yakin
2007 TREC Video Retrieval Evaluation  
We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation.  ...  Introduction This is the fourth participation of the RETINA Vision and Learning Group at Bilkent University to TRECVID.  ...  Preprocessing In all of the runs, we have used the shot boundaries, keyframes, and manual annotations provided with the TRECVID 2007 data.  ... 
dblp:conf/trecvid/AksoyDAAGHKOOY07 fatcat:m4t7qvp5zjfnzmxu7jmge4rhi4

Visual Reranking with Local Learning Consistency [chapter]

Xinmei Tian, Linjun Yang, Xiuqing Wu, Xian-Sheng Hua
2010 Lecture Notes in Computer Science  
Experiments on the TRECVID benchmark dataset and a real Web image dataset demonstrate the superiority of the local learning regularizer in visual reranking.  ...  As illustrated, larger Ks are preferred on both TRECVID 2005 and 2007, while on TRECVID 2007 a small K gives better performance.  ...  Here, due to the space limitation, we only take TRECVID 2005 for illustration.  ... 
doi:10.1007/978-3-642-11301-7_19 fatcat:6dsnfv64ezgi3inx4soia5fs3i

UEC at TRECVID 2007 High Level Feature Task

Ounan Liu, Zhiyuan Tang, Keiji Yanai
2007 TREC Video Retrieval Evaluation  
In this paper, we describe our approach and results for high-level feature extraction task at TRECVID 2007. This year, we adopted late fusion of several types of features.  ...  For TRECVID 2007, we decided to adopt late fusion of several types of features.  ...  data for Run 2 and Run 6, only TRECVID 2006 training data for Run 4, and only TRECVID 2007 training data for the others.  ... 
dblp:conf/trecvid/LiuTY07 fatcat:xxauisfe2rddjn3apn36gkjjqi

University of Central Florida at TRECVID 2007 Semantic Video Classification and Automatic Search

Jingen Liu, Yusuf Aytar, Omer Bilal Orhan, Jenny Han, Mubarak Shah
2007 TREC Video Retrieval Evaluation  
In this paper, we describe our approaches and experiments in semantic video classification (high-level features extraction) and fully automatic topic search tasks of TRECVID 2007.  ...  Figure 4 displays the performance of each run compared to all the runs in the TRECVID 2007.  ...  Mean Average Precision results for all TRECVID 2007 search submissions including our runs (red bars). Figure 8 . 8 Figure 8.  ... 
dblp:conf/trecvid/LiuAOHS07 fatcat:nr2j2kjryvc3vgvnjkzb3exp3a

The University of Queensland at TRECVID 2007 Search Task

Heng Tao Shen, Xiaofang Zhou, Jie Shao, Zi Huang
2007 TREC Video Retrieval Evaluation  
This paper describes our first participation in TRECVID. We took part in the search task and submitted two interactive runs.  ...  We measure some proposed distance value in feature space and apply k Nearest Neighbor (kNN) search method for score ranking.  ...  In the future, we will pay more attention on semantic based video retrieval to improve the search performance at TRECVID.  ... 
dblp:conf/trecvid/ShenZSH07 fatcat:hprho2lgpvbfhccpdeffdaazuu

One step beyond histograms: Image representation using Markov stationary features

Jianguo Li, Weixin Wu, Tao Wang, Yimin Zhang
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
We evaluate the MSF extended histogram features on the task of TRECVID video concept detection.  ...  (a) average performance on TRECVID 2005 corpus, (b) average performance on TRECVID 2007 corpus.  ...  However, the transition matrix is sensitive to image noise and space expensive (requires O(K 2 ) space for K states).  ... 
doi:10.1109/cvpr.2008.4587839 dblp:conf/cvpr/LiWWZ08 fatcat:2eftopz7nzgdhox6nptd2nm57e

DFKI-IUPR participation in TRECVID'09 High-level Feature Extraction Task

Damian Borth, Markus Koch, Adrian Ulges, Thomas M. Breuel
2009 TREC Video Retrieval Evaluation  
weights are learned using a grid search maximizing average precision on the TRECVID 2007 test set, using the TRECVID 2007 development set as training set.  ...  Features are clustered to 2, 000 visual words using K-Means forming "bag-of-visual-words" descriptors. • TubeTagger Semantic Feature Space: TubeTagger is a system which performs a visual learning on YouTube  ... 
dblp:conf/trecvid/BorthKUB09 fatcat:cz2qy2itujh43mowmrivnjrk4y
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