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K-Space at TRECvid 2006

Peter Wilkins, Tomasz Adamek, Paul Ferguson, Mark Hughes, Gareth J. F. Jones, Gordon Keenan, Kevin McGuinness, Jovanka Malobabic, Noel E. O'Connor, David A. Sadlier, Alan F. Smeaton, Rachid Benmokhtar (+20 others)
2006 TREC Video Retrieval Evaluation  
In this paper we describe the K-Space participation in TRECVid 2006. K-Space participated in two tasks, highlevel feature extraction and search.  ...  Acknowledgments The research leading to this paper was supported by the European Commission under contract FP6-027026 (K-Space).  ...  Conclusion We have presented the K-Space participation in TRECVid 2006.  ... 
dblp:conf/trecvid/WilkinsAFHJKMMO06 fatcat:b4kgh4uhqbhpbk3yoxvfo5y6xe

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)  
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 iteration of the annual TRECVid  ...  Figure 1 . 1 User interface for Dublin City University K-Space Search System. [Color figure can be viewed in the online issue, which is available at www.interscience. wiley.com.]  ...  Figure 2 . 2 User interface for Dublin City University/K-Space Search System. [Color figure can be viewed in the online issue, which is available at www. interscience.wiley.com.]  ... 
doi:10.1002/ima.20150 fatcat:zq4xgfb5lfgfpaohrnpir4wnw4

Merging storyboard strategies and automatic retrieval for improving interactive video search

Michael G. Christel, Rong Yan
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
For TRECVID 2006 the output of automatic search was included for the first time with storyboards, both as an option for an interactive user and in a different run as the sole means of access.  ...  Further, the full Informedia interface with automatic search results as an option along with other query mechanisms scored significantly better than all other TRECVID 2006 interactive search systems.  ...  This collection was automatically divided into shots at the Fraunhofer (Heinrich Hertz) Institute in Berlin, producing a common shot reference of 79,484 TRECVID shots used in scoring across TRECVID 2006  ... 
doi:10.1145/1282280.1282351 dblp:conf/civr/ChristelY07 fatcat:morsepvdybgjnefd2pdlc7auzy

Multi-Lingual Broadcast News Retrieval

Alexander G. Hauptmann, Ming-yu Chen, Michael G. Christel, D. Das, Wei-Hao Lin, Rong Yan, Jie Yang, Gerhard Backfried, Xiao Wu
2006 TREC Video Retrieval Evaluation  
In this notebook paper we describe the technical details of the submissions to TRECVID 2006 from CMU Informedia team.  ...  High-level feature extraction We submitted 6 runs for TRECVID 2006 high level feature evaluation, as shown in Table 1 . There were 61901 labeled shots for the 39 concepts of the LSCOM-Lite set.  ...  In TRECVID 2006, we predict fusion set and test data (the new trecvid 2006 data) by the models we built from our training set.  ... 
dblp:conf/trecvid/HauptmannCCDLY006 fatcat:wjl7ftqu4fem5cmfaet7vmq2sm

Towards optimal bag-of-features for object categorization and semantic video retrieval

Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
By incorporating the BoF with color and texture features, an improvement of 50% is reported on TRECVID-2006 dataset.  ...  On both PASCAL-2005 and TRECVID-2006 datasets, our BoF setting generates competitive performance compared to the state-of-the-art techniques.  ...  K linear (x, y) = x T y. (3) K d−RBF (x, y) = e −ρd(x,y) , (4) where d(x, y) can be chosen to be any distance in the feature space.  ... 
doi:10.1145/1282280.1282352 dblp:conf/civr/JiangNY07 fatcat:ww26ir6h5ng7nfxcfbnvqilhbu

IBM Research TRECVID-2006 Video Retrieval System

Murray Campbell, Alexander Haubold, Shahram Ebadollahi, Dhiraj Joshi, Milind R. Naphade, Apostol Natsev, Joachim Seidl, John R. Smith, Katya Scheinberg, Jelena Tesic, Lexing Xie
2006 TREC Video Retrieval Evaluation  
In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2006 video retrieval benchmark.  ...  We used different partitioning for TRECVID 2005 and TRECVID 2006 training, and we leveraged both to build final models in 2006.  ...  benchmark: up to 53.43 % for 2005 and 21.54 % 2006 TRECVID topics.  ... 
dblp:conf/trecvid/CampbellHEJNNSS06 fatcat:t2wpc5feqnedljhgcxy7lzx4hq

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.  ...  data for Run 2 and Run 6, only TRECVID 2006 training data for Run 4, and only TRECVID 2007 training data for the others.  ...  INTRODUCTION In TRECVID 2006, we extracted single type of feature vectors from each test images, and classified test keyframes by the machine learning method such as support vector machines (SVM).  ... 
dblp:conf/trecvid/LiuTY07 fatcat:xxauisfe2rddjn3apn36gkjjqi

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

Improving Automatic Video Retrieval with Semantic Concept Detection [chapter]

Markus Koskela, Mats Sjöberg, Jorma Laaksonen
2009 Lecture Notes in Computer Science  
The experiments use the common video data and sets of queries from three successive TRECVID evaluations.  ...  Due to the limited space, the search topics are not listed here, but are available in the TRECVID guidelines documents at http://www-nlpir.nist.  ...  TRECVID The video material and the search topics used in these experiments are from the TRECVID evaluations [2] in 2006-2008.  ... 
doi:10.1007/978-3-642-02230-2_49 fatcat:xrfn3gpljffxnm7mhyx4iqnyge

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

University of Central Florida at TRECVID 2006 High-Level Feature Extraction and Video Search

Jingen Liu, Yun Zhai, Arslan Basharat, Omer Bilal Orhan, Saad M. Khan, Humera Noor, Phillip Berkowitz, Mubarak Shah
2006 TREC Video Retrieval Evaluation  
In this paper, we describe our experiments in high-level features extraction and interactive topic search tasks of TRECVID 2006.  ...  plots the performance comparison of our runs to all the TRECVID 2006 runs in term of average precision.  ...  In each run, the temporal "K-nearest neighbor" method is used as the final step in the relevant feedback.  ... 
dblp:conf/trecvid/LiuZBOKNBS06 fatcat:7itptghdzbbynmadnuip2m3iea

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).  ...  In contrast to TRECVid 2006 the face detection was applied only both to the keyframes and the K-frames within a shot.  ...  This paper describes the K-Space participation in TRECVid 2007.  ... 
dblp:conf/trecvid/WilkinsABJLKMOSAOBGHELVPVMKSAMSBPCIHGSCSP07 fatcat:xvegdrcqmjfp3avqitwnq3rhgq

[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

Inexpensive fusion methods for enhancing feature detection

Peter Wilkins, Tomasz Adamek, Noel E. O'Connor, Alan F. Smeaton
2007 Signal processing. Image communication  
At multiple stages throughout these frameworks, various pieces of evidence can be fused together in order to boost performance.  ...  Our approaches, validated experimentally on TRECVid data, are designed to be complementary to existing frameworks and can be regarded as possible replacements for the more computationally expensive combination  ...  We would like to extend our thanks to our TRECVid K-Space partners who provided the specific feature detectors used throughout this series of experiments.  ... 
doi:10.1016/j.image.2007.05.012 fatcat:mm3q3o6nd5f55nezucj2fxiblu

Inexpensive Fusion Methods for Enhancing Feature Detection

Peter Wilkins, Tomasz Adamek, Noel E. O'Connor, Alan F. Smeaton
2007 2007 International Workshop on Content-Based Multimedia Indexing  
At multiple stages throughout these frameworks, various pieces of evidence can be fused together in order to boost performance.  ...  Our approaches, validated experimentally on TRECVid data, are designed to be complementary to existing frameworks and can be regarded as possible replacements for the more computationally expensive combination  ...  We would like to extend our thanks to our TRECVid K-Space partners who provided the specific feature detectors used throughout this series of experiments.  ... 
doi:10.1109/cbmi.2007.385400 dblp:conf/cbmi/WilkinsAOS07 fatcat:j7pcn7crzrgktfhm2rsnc2td2m
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