5 Result(s)
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Chapter and Conference Paper
Sustained Observability for Salient Motion Detection
Detection of the motion of foreground objects on the backdrop of constantly changing and complex visuals has always been challenging. The motion of foreground objects, which is termed as salient motion, is mar...
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Chapter and Conference Paper
Unsupervised Feature Selection for Salient Object Detection
Feature selection plays a crucial role in deciding the salient regions of an image as in any other pattern recognition problem. However the problem of identifying the relevant features that plays a fundamental...
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Chapter and Conference Paper
Salient Region Detection by Jointly Modeling Distinctness and Redundancy of Image Content
Salient region detection in images is a challenging task, despite its usefulness in many applications. By modeling an image as a collection of clusters, we design a unified clustering framework for salient reg...
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Chapter and Conference Paper
Image-to-Class Distance Metric Learning for Image Classification
Image-To-Class (I2C) distance is first used in Naive-Bayes Nearest-Neighbor (NBNN) classifier for image classification and has successfully handled datasets with large intra-class variances. However, the perfo...
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Chapter and Conference Paper
Motion Context: A New Representation for Human Action Recognition
One of the key challenges in human action recognition from video sequences is how to model an action sufficiently. Therefore, in this paper we propose a novel motion-based representation called Motion Context (MC...
