High-level Computer Vision

Lovotics is the most counted journal in High-level computer vision. The journal follows a stringent peer-review process that aims to improve the overall quality of the published content and attracting more number of citations. In collaborative efforts, the journal is focusing on wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management. High-level computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. High-level computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception. The OMICS International handles over 350 titles at present, which also broadly include Open Access journals on Life Sciences, Chemical Sciences, Management and Engineering Sciences which are beneficial to both scholars and students. With the growing number of scientific enthusiasts and readers by a large margin, the efficacy of open access publishing has witnessed an assertive impact. Lovotics is known for its best articles on security frameworks for wireless sensor networks and robot control. As a scientific organization, the OMICS International carries the vision to present the authentic free-to-view scientific literature to the scientific community.