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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
In recent years, studies have shown that independent/sparse components of local windows of natural images resemble the receptive fields of cells in the early stages of the mammalian visual pathway. However, the role of the independence...
The performance of a content-based image retrieval system depends on the representation of images. As a typical image consists of different objects, an image segmentation is needed for more accurate representations of contents. The first...
This research explores the idea of extracting three-dimensional features from video clips, in order to aid various video analysis and mining tasks. Although video analysis problems are well-established in the literature, the use of three...
This thesis is composed of two parts. Part one is on Appearance-Based Classification and Recognition Using Spectral Histogram Representations. We present a unified method for appearance-based applications including texture classification...
Digital image steganography is the art and science of hidden information. Currently, steganographic (stego) algorithms are rapidly evolving and reducing their artifacts. There-fore, detecting of altered cover images, i.e. steganalysis, ...
This thesis describes two algorithms for face detection that rely on a generic feature representation called spectral histogram representation. The sufficiency and generalization of this representation is demonstrated through a...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
