Video Summarization is the method of producing a summary of the video content. A generic
video summarization method named GVSUM is proposed in this paper. The generic …

Accurately estimating the absolute distance and height of objects in open areas is quite
challenging, especially when based solely on single images. In this paper, we tackle these …

Real signals are usually contaminated with various types of noise. This phenomenon has a
negative impact on the operation of systems that rely on signals processing. In this paper …

Video summarization aims to produce highlights of the original video showing informative
key events. Now a days video content is increasing enormously therefor to store, browse …

This paper presents a hybrid feature extraction and optimized deep learning model for the
effective shot boundary detection (SBD). A cross‐guided bilateral filtering technique is used …

Low-rank approximation in data streams is a fundamental and significant task in computing
science, machine learning and statistics. Multiple streaming algorithms have emerged over …

Research has been ongoing for years to discover image features that enable their best
classification. One of the latest developments in this area is the Self-Distillation with No …

In this paper an efficient method for signal change detection in multidimensional data
streams is proposed. A novel tensor model is suggested for input signal representation and …

Video analytics of real-life scenario deals with the multimedia data statistics that may be
characterized by multimodal features of the video components. Large varieties of low-scale …

The paper presents a method for change detection in multidimensional streams of data
based on a tensor model constructed from the Higher-Order Singular Value Decomposition …