Video compression has great significance in the communication of motion pictures. Video
compression techniques try to remove the different types of redundancy within or between …

In this paper we present a new method for key frame detection. Our approach is based on a
well known algorithm: Speeded-Up Robust Features (SURF), which is a crucial step of our …

In this paper we present a new method for key frame detection. Our approach is based on a
well-known algorithm of the Restricted Boltzmann Machine (RBM), which is a pivotal step in …

Video and image compression technology has evolved into a highly developed field of
computer vision. It is used in a wide range of applications like HDTV, video transmission …

Signal processing is an area of electrical engineering which emphasizes the analysis,
synthesis, and modification of signals that can be in the form of voice, image, video, and …

This paper proposes a modified video compression model that optimizes vector quantization
codebook by using the adapted Quantum Genetic Algorithm (QGA) that uses the quantum …

In this paper an incremental procedure for nonparametric learning of time-varying
regression function is presented. The procedure is based on the Cesàro-means of …

In this paper we present a new method for video compression. Our approach is based on a
well known neural network image compression algorithm: predictive vector quantization …

In this paper we present a video compression algorithm based on predictive vector
quantization, which is a combination of vector quantization and differential pulse code …