Journal ArticleDOI
Model-based approach to spatial–temporal sampling of video clips for video object detection by classification ☆
TLDR
S spatial–temporal sampling is defined as a unified process of extracting video objects and computing their spatial-temporal boundaries using a learnt video object model.About:
This article is published in Journal of Visual Communication and Image Representation.The article was published on 2014-07-01. It has received 15 citations till now. The article focuses on the topics: Video tracking & Video compression picture types.read more
Citations
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Journal ArticleDOI
Systematic review of virtual speech therapists for speech disorders
Yi-Ping Phoebe Chen,Caddi Johnson,Pooia Lalbakhsh,Terry Caelli,Guang Deng,David B. H. Tay,Shane Erickson,Philip Broadbridge,Amr El Refaie,Wendy Doube,Meg E. Morris +10 more
TL;DR: VSTs are significantly effective in training people with a variety of speech disorders; however, it cannot be claimed that a consensus exists in the superiority of VSTs over speech-language pathologists regarding rehabilitation outcomes.
Journal ArticleDOI
Boosting content based image retrieval performance through integration of parametric & nonparametric approaches
TL;DR: The research addresses that point for content based image retrieval (CBIR) by fusing parametric color and shape features with nonparametric texture feature to propose a robust and effective algorithm.
Journal ArticleDOI
An ultra-fast human detection method for color-depth camera
TL;DR: An extremely fast technique to locate positions that are plausibly humans that can deal with partial occlusion and incomplete depth data is proposed to quickly reduce searching space.
Journal ArticleDOI
Query-Specific Distance and Hybrid Tracking Model for Video Object Retrieval
TL;DR: This work has proposed a technique of query-specific distance and hybrid tracking model for video object retrieval that attained a higher f-measure compared to that of other existing tracking models, such as the nearest neighbourhood algorithmic model and spatial-exponential weighted moving average model.
Journal ArticleDOI
Indexing and encoding based image feature representation with bin overlapped similarity measure for CBIR applications
S. G. Shaila,A. Vadivel +1 more
TL;DR: The proposed indexing, coding technique and similarity measure to address the problem of exhaustive search for a given query image to find the relevant images in the database are non-scalable.
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.
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: The Scale-Invariant Feature Transform (or SIFT) algorithm is a highly robust method to extract and consequently match distinctive invariant features from images that can then be used to reliably match objects in diering images.
Proceedings Article
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas,Takeo Kanade +1 more
TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
Proceedings ArticleDOI
A training algorithm for optimal margin classifiers
TL;DR: A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented, applicable to a wide variety of the classification functions, including Perceptrons, polynomials, and Radial Basis Functions.
Journal ArticleDOI
Multimodel Inference Understanding AIC and BIC in Model Selection
TL;DR: Various facets of such multimodel inference are presented here, particularly methods of model averaging, which can be derived as a non-Bayesian result.