POPRAWA METOD KOMPENSACJI RUCHU PORUSZAJĄCYCH SIĘ OBIEKTÓW DYNAMICZNYCH W STREAMIE WIDEO SYSTEMU WIDEOKONFERENCYJNEGO

Videoconferencing gives us the opportunity to work and communicate in real time, as well as to use collective applications, interactive information exchange. Videoconferencing systems are one of the basic components of the organization of manegment, ensuring, the timeliness and necessary quality management of the implementation of objective control over the solution of the tasks. The quality of the image and the time of transmission of video information is unsatisfactory for the quality control of the troops. Considered ways to increase the efficiency of management and operational activities, due to methods of compensation of motion, using technology to reduce the volume of video data for quality improvement.Wideokonferencje dają możliwość pracy i komunikowania się w czasie rzeczywistym, a także korzystania ze zbiorowych aplikacji, interaktywnej wymiany informacji. Systemy wideokonferencyjne są jednym z podstawowych elementów organizacji zarządzania, zapewniając terminowość i niezbędne zarządzanie jakością w zakresie realizacji kontroli nad rozwiązaniem zadań. Jakość obrazu i czas transmisji informacji wideo jest niezadowalający dla kontroli jakości wojsk. Rozważono sposoby zwiększania efektywności zarządzania i działań operacyjnych, ze względu na metody kompensacji ruchu, z wykorzystaniem technologii zmniejszającej ilość danych wideo w celu poprawy jakości

Block matching algorithm based on Harmony Search optimization for motion estimation

Motion estimation is one of the major problems in developing video coding applications. Among all motion estimation approaches, Block-matching (BM) algorithms are the most popular methods due to their effectiveness and simplicity for both software and hardware implementations. A BM approach assumes that the movement of pixels within a defined region of the current frame can be modeled as a translation of pixels contained in the previous frame. In this procedure, the motion vector is obtained by minimizing a certain matching metric that is produced for the current frame over a determined search window from the previous frame. Unfortunately, the evaluation of such matching measurement is computationally expensive and represents the most consuming operation in the BM process. Therefore, BM motion estimation can be viewed as an optimization problem whose goal is to find the best-matching block within a search space. The simplest available BM method is the Full Search Algorithm (FSA) which finds the most accurate motion vector through an exhaustive computation of all the elements of the search space. Recently, several fast BM algorithms have been proposed to reduce the search positions by calculating only a fixed subset of motion vectors despite lowering its accuracy. On the other hand, the Harmony Search (HS) algorithm is a population-based optimization method that is inspired by the music improvisation process in which a musician searches for harmony and continues to polish the pitches to obtain a better harmony. In this paper, a new BM algorithm that combines HS with a fitness approximation model is proposed. The approach uses motion vectors belonging to the search window as potential solutions. A fitness function evaluates the matching quality of each motion vector candidate.Comment: 25 Pages. arXiv admin note: substantial text overlap with arXiv:1405.472