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Use of semantic content is one of the important tasks in image analysis, which needs to be addressed for improving image retrieval effectiveness. We present a method to assign multiple keywords to image using SVMs. Images are divided into three-level regions called global image, semi-global images and sub-images. For
In this paper we propose the method that extracts the semantic keyword from digital images automatically using color and texture features. The image semantic keyword is widely used in research area like image retrieval, categorization, annotation, management. The method consists of two steps: feature extraction and
This paper proposes an ingenious and fast method to classify videos into fixed broad classes, which would assist searching and indexing using semantic keywords. The model extracts constituent frames from videos and maps low-level features extracted these frames to high-level semantics. We use color, structure and
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