scholarly journals End-to-end transmission of scalable video contents: performance evaluation over EvalSVC—a new open-source evaluation platform

2013 ◽  
Vol 72 (2) ◽  
pp. 1239-1256 ◽  
Author(s):  
Tien Anh Le ◽  
Hang Nguyen
2021 ◽  
pp. 102135
Author(s):  
Vladimir Herdt ◽  
Daniel Große ◽  
Sören Tempel ◽  
Rolf Drechsler

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3691
Author(s):  
Ciprian Orhei ◽  
Silviu Vert ◽  
Muguras Mocofan ◽  
Radu Vasiu

Computer Vision is a cross-research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. The image processing systems is continuously growing and expanding into more complex systems, usually tailored to the certain needs or applications it may serve. To better serve this purpose, research on the architecture and design of such systems is also important. We present the End-to-End Computer Vision Framework, an open-source solution that aims to support researchers and teachers within the image processing vast field. The framework has incorporated Computer Vision features and Machine Learning models that researchers can use. In the continuous need to add new Computer Vision algorithms for a day-to-day research activity, our proposed framework has an advantage given by the configurable and scalar architecture. Even if the main focus of the framework is on the Computer Vision processing pipeline, the framework offers solutions to incorporate even more complex activities, such as training Machine Learning models. EECVF aims to become a useful tool for learning activities in the Computer Vision field, as it allows the learner and the teacher to handle only the topics at hand, and not the interconnection necessary for visual processing flow.


1992 ◽  
Author(s):  
Niels A. Thompson ◽  
William M. Bowser ◽  
Sung H. Song ◽  
Laura T. Skiff ◽  
William W. Powell ◽  
...  

2020 ◽  
pp. 21-58
Author(s):  
Vladimir Herdt ◽  
Daniel Große ◽  
Rolf Drechsler

2005 ◽  
Vol 13 (4) ◽  
pp. 271-280
Author(s):  
Judas Robinson ◽  
Simon De Lusignan ◽  
Patty Kostkova

Sign in / Sign up

Export Citation Format

Share Document