The computer vision system is the technology that deals with identifying and detecting the
objects of a particular class in digital images and videos. Local feature detection and …

The purpose of this study is to provide a detailed performance comparison of feature
detector/descriptor methods, particularly when their various combinations are used for …

This paper presents a novel rate control framework for H. 264/Advanced Video Coding-
based video coding that improves the preservation of gradient-based features like scale …

System has been investigated over past decade it's rooted in many applications like
developments and technologies. The demand for extraction of high level semantics contents …

This work addresses the problem of enabling resource-constrained sensor nodes to perform
visual analysis tasks. The focus is on visual analysis tasks that require the extraction of local …

With the advances in both stable interest region detectors and robust and distinctive
descriptors, local feature-based image or object retrieval has become a popular research …

Collective cell movement is an indication of phenomena such as wound healing, embryonic
morphogenesis, cancer invasion, and metastasis. Wound healing is a complicated cellular …

Feature Point (FP) detection is a fundamental step in computer vision tasks. Although FP
detectors are mostly designed to support Low Dynamic Range (LDR) images as input …

Videos are a powerful and communicative media that can capture and present information.
In recent times, large video databases are created because of the advancements in many …

We analyze the performance of TCP and UDP transport protocols when applied to image
retrieval or object recognition in wireless visual sensor networks (VSN). We focus on two …