Efficient Approaches to Computer Vision and Pattern Recognition

The Journal of Information Processing Systems (JIPS) publishes a wide range of topics related to a wide variety of advanced information and communication technologies, including systems, networks, architectures, algorithms, applications, and security. JIPS is the official international journal published by the Korea Information Processing Society and is the world's leading academic journal indexed by ESCI, SCOPUS, EI COMPENDEX, DOI, DBLP, EBSCO, Google Scholar, and CrossRef. The purpose of JIPS is to provide an outstanding, influential forum where researchers and experts gather to promote, share, and discuss crucial research issues and developments. The published theoretical and practical articles contribute to the relevant research area by presenting cutting-edge techniques related to information processing including new theories, approaches, concepts, analysis, functional experience reports, implementations, and applications. Topics covered in this journal include, but are not limited to, computer systems and theory, multimedia systems and graphics, communication systems and security, software systems, and applications. This issue features 25 diverse peer-reviewed papers addressing the area of computer vision and pattern recognition, such as image retrieval, image restoration, object tracking, speech recognition, camera collaboration, text processing and so forth. It also describes novel approaches including Internet of Things, graph analysis, genetic algorithm, security, and wireless networks. In addition, the papers propose experience reports and experiments that involve the implementation and application of new theories on state-of-the-art technologies related to information processing systems.