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[Invited Paper] TRECVid Semantic Indexing of Video: A 6-Year Retrospective

George Awad, Cees G. M. Snoek, Alan F. Smeaton, Georges Quénot
2016 ITE Transactions on Media Technology and Applications  
The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quaero project.  ...  As with the previous High-Level Feature detection task which ran from 2002 to 2009, the semantic indexing task aims at evaluating methods and systems for detecting visual, auditory or multi-modal concepts  ...  The authors wish to thank Paul Over from NIST, now retired, for his work in setting up the TRECVid benchmark and for his help in managing the semantic indexing task.  ... 
doi:10.3169/mta.4.187 fatcat:hcibmza4gzf3naiuvxwop7wgjm

Community-driven hierarchical fusion of numerous classifiers: Application to video semantic indexing

Herve Bredin
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Application to the combination of 90 classifiers in the framework of TRECVid 2010 Semantic Indexing task shows a 30% increase in performance relative to a baseline flat fusion.  ...  EXPERIMENTS In the framework of TRECVid 2010 Semantic Indexing task [1] , NIST and Quaero provided participants with two corpora annotated with 50 concepts: 120k shots for the development set, N = 150k  ...  Experiments driven on the TRECVid 2010 Semantic Indexing task are summarized in Section 4. Finally, Section 5 concludes the paper.  ... 
doi:10.1109/icassp.2012.6288381 dblp:conf/icassp/Bredin12 fatcat:hkaxesu7jffexfbz5lawokawtm

Temporal re-scoring vs. temporal descriptors for semantic indexing of videos

Abdelkader Hamadi, Philippe Mulhem, Georges Quenot
2015 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)  
In this paper, we present a comparative study between two methods exploiting the temporal context for semantic video indexing.  ...  Our experiments on TRECVID'12 collection showed interesting results that confirm the usefulness of the temporal context and demonstrate which of the two approaches is more effective.  ...  ACKNOWLEDGEMENTS This work was partly realized as part of the Quaero Program funded by OSEO, French State agency for innovation.  ... 
doi:10.1109/cbmi.2015.7153626 dblp:conf/cbmi/HamadiMQ15 fatcat:y6zfu6pimregjcoii7msa7abnu

Training-free indexing refinement for visual media via multi-semantics

Peng Wang, Lifeng Sun, Shiqiang Yang, Alan F. Smeaton
2017 Neurocomputing  
* factorization and neighbourhood-based graph propagation are both used in the refinement of semantics.  ...  Extended experiments on two heterogeneous datasets, images from wearable cameras and videos from TRECVid, demonstrate the efficacy of the proposed TFR solution.  ...  2010 167 to 2015.  ... 
doi:10.1016/j.neucom.2016.08.107 fatcat:u33uvlfc2bclrkyckr4c6mqmu4

Active learning with multiple classifiers for multimedia indexing

Bahjat Safadi, Georges Quenot
2010 2010 International Workshop on Content Based Multimedia Indexing (CBMI)  
We propose and evaluate in this paper a combination of Active Learning and Multiple Classifiers approaches for corpus annotation and concept indexing on highly imbalanced datasets.  ...  Experiments were conducted using TRECVID 2008 data and protocol with four different types of video shot descriptors, with two types of classifiers (Logistic Regression and Support Vector Machine with RBF  ...  Acknowledgement This work was partly realized as part of the Quaero Program funded by OSEO, French State agency for innovation.  ... 
doi:10.1109/cbmi.2010.5529910 dblp:conf/cbmi/SafadiQ10 fatcat:yv3wzkirvjf37oxuvv7p5gubo4

Two-layers re-ranking approach based on contextual information for visual concepts detection in videos

Abdelkader Hamadi, Georges Quenot, Philippe Mulhem
2012 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)  
Experiments conducted on TRECVID 2010 data show that the proposed approach always improves over initial results obtained using either MSVM or KNN classifiers or their late fusion, achieving relative gains  ...  For concept-based video indexing and retrieval, this idea seems a priori valid.  ...  This work was partly realized as part of the Quaero Programme funded by OSEO, French State agency for innovation.  ... 
doi:10.1109/cbmi.2012.6269837 dblp:conf/cbmi/HamadiQM12 fatcat:ib6eidadtzhltl2nv37a6fnsve

Active learning with multiple classifiers for multimedia indexing

Bahjat Safadi, Georges Quénot
2010 Multimedia tools and applications  
We propose and evaluate in this paper a combination of Active Learning and Multiple Classifiers approaches for corpus annotation and concept indexing on highly imbalanced datasets.  ...  Experiments were conducted using TRECVID 2008 data and protocol with four different types of video shot descriptors, with two types of classifiers (Logistic Regression and Support Vector Machine with RBF  ...  Acknowledgement This work was partly realized as part of the Quaero Program funded by OSEO, French State agency for innovation.  ... 
doi:10.1007/s11042-010-0599-7 fatcat:agix2s55ozf5vi6ufkwcc6ymzi

Re-ranking by local re-scoring for video indexing and retrieval

Bahjat Safadi, Georges Quénot
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
The experimental results showed that the proposed re-ranking method was able to improve the system performance by about 18% in average on the TRECVID 2010 semantic indexing task, videos collection with  ...  In this paper, we proposed a re-ranking method that improves the performance of semantic video indexing and retrieval, by re-evaluating the scores of the shots by the homogeneity and the nature of the  ...  Acknowledgements This work was partly realized as part of the Quaero Program funded by OSEO, French State agency for innovation.  ... 
doi:10.1145/2063576.2063895 dblp:conf/cikm/SafadiQ11 fatcat:umiwpmbq2nd2rcdycvubbwp6qe

Content-based video genre classification using multiple cues

Hazim Kemal Ekenel, Tomas Semela, Rainer Stiefelhagen
2010 Proceedings of the 3rd international workshop on Automated information extraction in media production - AIEMPro '10  
The system is integrated to our content-based video processing system and shares the same features that we have been using for high-level feature detection task in TRECVID evaluations.  ...  This study is funded by OSEO, French State agency for innovation, as part of the Quaero Programme.  ...  In the following equations m is the index of the window and sa(n) is the signal at the time index n. Mel-frequency cepstral coefficients.  ... 
doi:10.1145/1877850.1877858 fatcat:gnumonmnjfdwxet5wkby6qk6kq

Descriptor optimization for multimedia indexing and retrieval

Bahjat Safadi, Georges Quenot
2013 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)  
The method has been validated and evaluated for a variety of descriptors using TRECVid 2010 semantic indexing task data.  ...  It has then be applied at large scale for the TRECVid 2012 semantic indexing task on tens of descriptors of various types and with initial dimensionalities from 15 up to 32,768.  ...  ACKNOWLEDGEMENTS This work was partly realized as part of the Quaero Program funded by OSEO, French State agency for innovation.  ... 
doi:10.1109/cbmi.2013.6576554 dblp:conf/cbmi/SafadiQ13 fatcat:rtxrxdf42ffzbbuj43jjwmchu4

Descriptor optimization for multimedia indexing and retrieval

Bahjat Safadi, Nadia Derbas, Georges Quénot
2014 Multimedia tools and applications  
The method has been validated and evaluated for a variety of descriptors using TRECVid 2010 semantic indexing task data.  ...  It has then be applied at large scale for the TRECVid 2012 semantic indexing task on tens of descriptors of various types and with initial dimensionalities from 15 up to 32,768.  ...  ACKNOWLEDGEMENTS This work was partly realized as part of the Quaero Program funded by OSEO, French State agency for innovation.  ... 
doi:10.1007/s11042-014-2071-6 fatcat:ccjbhngznrefvlqualfrbpy5ci

Learned features versus engineered features for multimedia indexing

Mateusz Budnik, Efrain-Leonardo Gutierrez-Gomez, Bahjat Safadi, Denis Pellerin, Georges Quénot
2016 Multimedia tools and applications  
The comparison was made in the context of the TRECVid semantic indexing task.  ...  Learned (or semantic) features are obtained by training classifiers on a source collection containing samples annotated with concepts.  ...  Experiments have been carried out in the context of the semantic indexing task at TRECVid [33, 19] .  ... 
doi:10.1007/s11042-016-4240-2 fatcat:azrhyxhvm5ctxf3xkytwkrtn64

A PUBLIC AUDIO IDENTIFICATION EVALUATION FRAMEWORK FOR BROADCAST MONITORING

Mathieu Ramona, Sébastien Fenet, Raphaël Blouet, Hervé Bredin, Thomas Fillon, Geoffroy Peeters
2012 Applied Artificial Intelligence  
An example of an application of this framework is finally detailed, that took place during the evaluation campaign of the Quaero project.  ...  Although the domain of audio identification is very active, both in the industry and the academic world, there is at present no common basis to compare the proposed techniques.  ...  Three participants submitted at least one run for the 2010 Quaero evaluation campaign: .  ... 
doi:10.1080/08839514.2012.629840 fatcat:jfeqicdwondx5odxihwnrvhviu

Hierarchical Late Fusion for Concept Detection in Videos [chapter]

Sabin Tiberius Strat, Alexandre Benoit, Patrick Lambert, Hervé Bredin, Georges Quénot
2014 Fusion in Computer Vision  
Acknowledgments This work was supported by the Quaero Program and the QCompere project, respectively funded by OSEO (French State agency for innovation) and ANR (French national research agency).  ...  Introduction Semantic indexing, as defined in the TRECVid evaluation campaign, consists in automatically detecting the presence of visual concepts in pre-segmented video shots [1] and returning a ranked  ...  Conclusion and future work In this paper, we proposed several ways of combining dozens of input classifiers into better ones, and applied them in the context of the TRECVid 2011 Semantic Indexing task.  ... 
doi:10.1007/978-3-319-05696-8_3 dblp:series/acvpr/StratBLBQ14 fatcat:sjflslgtpfdhjbxejtcxnhxpu4

Hierarchical Late Fusion for Concept Detection in Videos [chapter]

Sabin Tiberius Strat, Alexandre Benoit, Hervé Bredin, Georges Quénot, Patrick Lambert
2012 Lecture Notes in Computer Science  
Acknowledgments This work was supported by the Quaero Program and the QCompere project, respectively funded by OSEO (French State agency for innovation) and ANR (French national research agency).  ...  Introduction Semantic indexing, as defined in the TRECVid evaluation campaign, consists in automatically detecting the presence of visual concepts in pre-segmented video shots [1] and returning a ranked  ...  Conclusion and future work In this paper, we proposed several ways of combining dozens of input classifiers into better ones, and applied them in the context of the TRECVid 2011 Semantic Indexing task.  ... 
doi:10.1007/978-3-642-33885-4_34 fatcat:7prebtsvvbhtzgrs4bx2deetc4
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