Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models

Diplomarbeit Image Retrieval in the Compressed Domain Using JPEG 2000

This thesis shows the development process of JPEG2000 content based image retrieval (CBIR) methods. First, foundations of CBIR as well as JPEG2000 are explained and existing solutions are examined. On this basis, own approaches are developed. Wavelet coefficients that are extracted from JPEG2000 are used to create different feature sets. To facilitate the development process, the Java program ”...

Singular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images

In this paper, a steganography technique for JPEG2000 compressed images using singular value decomposition in wavelet transform domain is proposed. In this technique, DWT is applied on the cover image to get wavelet coefficients and SVD is applied on these wavelet coefficients to get the singular values. Then secret data is embedded into these singular values using scaling factor. Different com...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

­­Image Segmentation using Gaussian Mixture Model

Abstract: Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm.   In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact,...

IMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL

  Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the model have estimated by EM-algorithm.   In addition pixel labeling corresponded to each pixel of true image is made by Bayes rule. In fact, ...