Tobias Oelbaum

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This paper provides a performance analysis of the Scalable Video Coding (SVC) extension of H.264/AVC. A short overview presenting the main functionalities of SVC is given and main issues in encoder control and bit stream extraction are outlined. Some aspects of rate-distortion optimization in the context of SVC are discussed and strategies for derivation of(More)
The development of new video processing, new displays, and new modes of dissemination and usage enables a variety of moving picture applications intended for mobile and desktop devices as well as the more conventional platforms. These applications include multimedia as well as traditional video and require novel lighting environments and bit rates(More)
A new simple, effective and generic method is presented that allows to increase the prediction accuracy of visual quality metrics. This method is based on the observation, that the correlation between subjective results and objective metrics is very high for one special sequence or image coded at several bit rates with the same codec. This can be used to(More)
A no-reference video quality metric for High-Definition video is introduced. This metric evaluates a set of simple features such as blocking or blurring, and combines those features into one parameter representing visual quality. While only comparably few base feature measurements are used, additional parameters are gained by evaluating changes for these(More)
This contribution presents results of the MPEG verification test that was carried out for the new Scalable Video Coding (SVC) Amendment of H.264/AVC. The test consisted of a series of subjective comparisons of SVC and single layer H.264/AVC coding for different application scenarios including conversational applications, broadcasting over mobile channels,(More)
To improve the prediction accuracy of visual quality metrics for video we propose two simple steps: temporal pooling in order to gain a set of parameters from one measured feature and a correction step using videos of known visual quality. We demonstrate this approach on the well known PSNR. Firstly, we achieve a more accurate quality prediction by(More)
This contribution presents a no-reference video quality metric, which is based on a set of simple rules that assigns a given video to one of four different content classes. The four content classes distinguish between video sequences which are coded with a very low data rate, which are sensitive to blocking effects, which are sensitive to blurring, and a(More)
Standard compliant enhancements of the emerging H.264/AVC coding algorithm for transmission over lossy IP-based networks are described with the error resilience features being presented in greater detail. Standard compliant encoder and decoder enhancements as well as the exploitation of transport layer mechanisms to improve the quality in packet lossy(More)
The industry is currently starting to use MPEG-4 compressed digital video for surveillance applications. The transition from analog to digital video raises difficulties for using surveillance video in court. Since it is fairly easy to make hard-to-detect modifications to the video stream captured by the cameras, e.g. mask out a specific event or person, a(More)
The most important step in the development process of a video quality metric is its verification with regards to the subjective quality experience. Even though guidelines in the form of standards and recommendations are well known, there are still quite often shortcomings in the verification process of many metrics. In this contribution we revisit these(More)