Automatic preparation of media objects in multimedia applications

Author(s):  
Marina Ivanov ◽  
Marcelo F. Moreno ◽  
Débora C. Muchaluat-Saade
Author(s):  
Marina I. P. Josué ◽  
Marcelo F. Moreno ◽  
Joel A. F. dos Santos ◽  
Debora C. Muchaluat-Saade

This contribution proposes a mechanism for automatic preparation of media objects incorporated in Ginga-NCL. In the automatic preparation, the middleware Ginga-NCL builds a preparation plan based on the network conditions and the presentation behaviour gathered from the multimedia document that defines the application. The automatic preparation of media objects aims to reduce or avoid synchronization faults during the presentation of distributed multimedia applications.


Author(s):  
Sumek WISAYATAKSIN ◽  
Dongju LI ◽  
Tsuyoshi ISSHIKI ◽  
Hiroaki KUNIEDA

Author(s):  
Katja Reiter ◽  
Hans Bundgaard

Abstract Based on the requirements regarding target, reproducibility, and specimen surface quality, an automatic system for controlled material removal and target preparation has been developed. The tool is for metallographic failure analysis of electric and microelectronic components, and provides an accuracy of 5 micrometer. This article presents details of sample preparation and device evaluation methods. The images presented show typical objects of examination in the analysis of microstructures and materials in the electronics packaging industry with brief comments. For automatically controlled material removal and preparation, the tool offers alignment and measuring of the sample prior to the preparation. The desired preparation layers were achieved precisely and reproducibly with several specimens of the same kind. The automatic preparation system allowed the preparation of critical samples within a short time, with high precision and with excellent reproducibility.


Author(s):  
Rajesh Kumar Verma ◽  
Chhabi Rani Panigrahi ◽  
Bibudhendu Pati ◽  
Joy Lal Sarkar

Background & Objective: Multimedia aggregates various types of media such as audio, video, images, animations, etc., to form a rich media content which produces an everlasting effect in the minds of the people. Methods: In order to process multimedia applications using mobile devices, we encounter a big challenge as these devices have limited resources and power. To address these limitations, in this work, we have proposed an efficient approach named as mMedia, wherein multimedia applications will utilize the multi cloud environment using Mobile Cloud Computing (MCC), for faster processing. The proposed approach selects the best available network. The authors have also considered using the Lyapunov optimization technique for efficient transmission between the mobile device and the cloud. Results: The simulation results indicate that mMedia can be useful for various multimedia applications by considering the energy delay tradeoff decision. Conclusion: The results have been compared alongside the base algorithm SALSA on the basis of different parameters like time average queue backlog, delay and time average utility and indicate that the mMedia outperforms in all the aspects.


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