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Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. In this paper, we present and implement an image descriptor that extracts the feature of image using combination of SURF (Speed Up Robust Feature) and DCD (Dominant Color Descriptor) scheme. To evaluate the performance of implemented algorithm, we assess the performance of simulation...
Recognizing and understanding of human emotion is a strongly reasonable method for the interaction among human and machine communication system. The most expressive way to extract and recognize the humane emotion is through facial expression analysis. This paper presents and implements an automatic extracting, understand and recognizing method of facial expression and emotion from input still images...
Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. In this paper, we propose and implement a new image retrieval method that extracts the feature of image using efficient clustering for SURF (Speed Up Robust Feature) scheme, applicable to mobile environments. Since SURF works only on gray-scale images, our clustering SURF is combined...
In this paper, we propose a new efficient photo image retrieval method that automatically indexed for searching relevant photo images using a combination of geo-referenced attributes and low-level visual features. Photo image is labeled with its GPS (Global Positioning System) coordinates at the moment of capture, and a flat layer index is generated with the pair of latitude and longitude. These are...
Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. This paper proposes a new efficient image retrieval method that applies a weighted combination of color and texture to the wavelet transform, based on spatial-color and second order statistics, respectively. To evaluate the performance of the proposed algorithm, we assess the simulation's...
Localizing an object in an image is a common task in the field of computer vision, and correlograms are often used for content-based image retrieval. This paper proposes an efficient object localization algorithm for query-by-sub region. The new algorithm utilizes correlogram back-projection in the chromaticity coordinates to handle the problem of sub-region querying. This approach enables users to...
This paper proposes a new method to automatically index searches for relevant images using geo-coded information. Photographic images are labeled with their GPS (Global Positioning System) coordinates and date/time at the moment of capture and this date is then utilized to create two layer spatial and temporal indexes for image searches. A simulation performed to estimate the effectiveness of the...
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