Sridhar Swaminathan

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In the past, several automatic video summarization systems had been proposed to generate video summary. However, a generic video summary that is generated based only on audio, visual and textual saliencies will not satisfy every user. This paper proposes a novel system for generating semantically meaningful personalized video summaries, which are tailored(More)
Although in the past, several automatic video summarization systems had been proposed to generate video summary, a generic summary based only on low-level features will not satisfy every user. As users' needs or preferences for the summary vastly differ for the same video, a unique personalized and customized video summarization system becomes an urgent(More)
This paper presents a new methodology for image description to extract discriminative features from images, that are robust and invariant to illumination changes. The proposed approach describes the image features using multisupport interest regions. The features from multisupport regions are extracted after transforming each interest region into log polar(More)
The aim of this study is to recognize the given image with the existing image based on the technique of image binarization by MATLAB tool and it is simulated using VHDL (Very High Speed IC Hardware Descriptive Language) using MODELSIM tool. This image binarization is based on LEGION (Locally Excitatory Globally inhibitory Oscillatory Network) Concept. In(More)
In this letter, a novel salient region detection approach is proposed. Firstly, color contrast cue and color distribution cue are computed by exploiting patch level and region level image abstractions in a unified way, where these two cues are fused to compute an initial saliency map. A simple and computationally efficient adaptive saliency refinement(More)
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