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The ever-increasing use of the Internet and file sharing applications based on Peer to Peer networks has alarmed content authors, providers and resellers of digital content. Techniques proposed for protecting digital media include watermarking, use of metadata and self-protection and self-authentication. In this paper we review the most important of these methods and analyse their potential use in...
Optimal image mosaicing has large computational complexity, that becomes prohibitive as the number of sub-images increases. Two methods are proposed, which require less computation time by performing mosaicing in pairs of two sub-images at a time, without significant reconstruction losses, as evidenced by simulation results.
MPEG-7 has emerged as the standard for multimedia data content description. As it is in its early age, it tries to evolve towards a direction in which semantic content description can be implemented. In this paper we provide a number of classes to extend the MPEG-7 standard so that it can handle the video media data, in a more uniform and anthropocentric way. Many descriptors (Ds) and description...
In this paper, a detection system to support medical diagnosis and detection of abnormal lesions by processing endoscopic images is presented. The endoscopic images possess rich information expressed by texture. Schemes have been developed to extract texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram...
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generative probabilistic model framework for this task. However, this layered models do not explicitly account for variation due to changes in the pose and self occlusion. In this paper we show that if the motion of the object is...
This paper presents the robust feature vector selection for multiple frontal face detection based on the Bayesian statistical method. The feature vector for the training and classification are integrated by means, amplitude projections, and its 1D Harr wavelet of input image. And the statistical modeling is performed both for face and nonface classes. Finally, the estimated probability density functions...
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