Open Access
JOANNEUM RESEARCH and Vienna University of Technology at TRECVID 2010.
TLDR
The authors participated in two tasks: semantic indexing (SIN) and instance search (INS) which involved solving the problem of how to index an instance and retrieve its contents.Abstract:
We participated in two tasks: semantic indexing (SIN) and instance search (INS).read more
Citations
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Introduction to the special issue on multimedia implementation », IEEE Trans. On Circuits and Systems for Video Technology
TL;DR: LTS3 Reference LTS-ARTICLE-2004-019 Record created on 2006-06-14, modified on 2016-08-08.
Proceedings ArticleDOI
CORI: A configurable object recognition infrastructure
TL;DR: This work presents an object recognition infrastructure that can be adapted to the needs of a broad spectrum of tasks without writing a single line of code and can be configured to generate various visual features and to perform training and recognition.
Proceedings ArticleDOI
A Robust Instance-based Video Search Method by Re-ranking for Multiple Visual Codebooks
Wen Wang,Zhicheng Zhao +1 more
TL;DR: The proposed framework was evaluated at TRECVID 2011 on instance search task(INS), and achieved the 2nd place among 47 participants around the world, which indicated the effectiveness of the system.
RMIT at TRECVid 2012: Instance Search
Amir H. Rouhi,James A. Thom +1 more
TL;DR: The paper introduces the procedure used by RMIT RMIT for Instance-‐SURF search for INS searches with results that seems to be more effective than the current procedure, and how raw scores from Interest--Point and different high-scoring instances are considered.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
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LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
TL;DR: Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Proceedings ArticleDOI
Rapid object detection using a boosted cascade of simple features
Paul A. Viola,Michael Jones +1 more
TL;DR: A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
Journal ArticleDOI
Mean shift: a robust approach toward feature space analysis
Dorin Comaniciu,Peter Meer +1 more
TL;DR: It is proved the convergence of a recursive mean shift procedure to the nearest stationary point of the underlying density function and, thus, its utility in detecting the modes of the density.