Satya M. Muddamsetty

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Visual saliency is an important research topic in computer vision applications, which helps to focus on regions of interest instead of processing the whole image. Detecting visual saliency in still images has been widely addressed in literature. However, visual saliency detection in videos is more complicated due to additional temporal information. A(More)
Visual saliency detection is an important step in many computer vision applications, since it reduces further processing steps to regions of interest. Saliency detection in still images is a well-studied topic. However, videos scenes contain more information than static images, and this additional temporal information is an important aspect of human(More)
Timber defects detection is one of the important topics in machine vision applications, since the number and severity of defects determine the quality of the wood and consequently its price. In this paper we propose a method to detect wood defects such as cracks and knots. Firstly we create a dictionary based on the bag-of-words approach in a training step.(More)
Visual saliency is an important research topic in the field of computer vision due to its numerous possible applications. It helps to focus on regions of interest instead of processing the whole image or video data. Detecting visual saliency in still images has been widely addressed in literature with several formulations. However, visual saliency detection(More)
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