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K-Space at TRECVID 2007
2007
TREC Video Retrieval Evaluation
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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
2008
International journal of imaging systems and technology (Print)
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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
2007
TREC Video Retrieval Evaluation
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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]
2008
Lecture Notes in Computer Science
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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
2007
TREC Video Retrieval Evaluation
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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
2009
Multimedia tools and applications
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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
2007
TREC Video Retrieval Evaluation
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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
2016
ITE Transactions on Media Technology and Applications
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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
2007
TREC Video Retrieval Evaluation
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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]
2010
Lecture Notes in Computer Science
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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
2007
TREC Video Retrieval Evaluation
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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
2007
TREC Video Retrieval Evaluation
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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
2007
TREC Video Retrieval Evaluation
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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
2008
2008 IEEE Conference on Computer Vision and Pattern Recognition
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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
2009
TREC Video Retrieval Evaluation
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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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