Over the last two decades, hand-crafted feature extractors have been used in order to compose image representations. Recently, Representation Learning have been explored as a way of producing more intelligent features. In this work, we proposed two approaches of a Representation Learning method which aims to provide more effective and compact image representations. It uses Genetic Algorithm to ...

We develop a two stage split vector quantization method with optimum bit allocation, for achieving minimum computational complexity. This also results in much lower memory requirement than the recently proposed switched split vector quantization method. To improve the rate-distortion performance further, a region specific normalization is introduced, which results in 1 bit/vector improvement ov...

the literature associated with iran’s art and architecture in the past four decades has witnessed a handful number of works that have dealt with the re-interpretation of the old tradition of apprenticeship and its connection with the fotovvat movement of the time. in those valuable works, what has duly been decoded most, is the spiritual and mystical aspect of apprenticeship, as a full-scale so...

Pose and illumination variations are the most dominating and persistent challenges haunting face recognition, leading to various highlycomplex 2D and 3D model based solutions. We present a novel transform vector quantization (TVQ) method which is fast and accurate and yet significantly less complex than conventional methods. TVQ offers a flexible and customizable way to capture the pose variati...

Image and video compression has become an increasingly important and active area. Many techniques have been developed in this area. Any compression technique can be modeled as a threestage process. The jirst stage can be generally called a signal processing stage where an image or video signal is converted into a direrent domain. Usually, there is no or little loss of information in this stage....

Color quantization is the process of reducing the number of colors in a digital image. The main objective of quantization process is that significant information should be preserved while reducing the color of an image. In other words, quantization process shouldn’t cause significant information loss in the image. In this paper, a short review of color quantization is presented and a new color ...

Image retrieval based on color histograms requires quantization of a color space. Uniform scalar quantization of each color channel is a popular method for the reduction of histogram dimensionality. With this method, however, no spatial information among pixels is considered in constructing the histograms. Vector quantization (VQ) provides a simple and effective means for exploiting spatial inf...