Die Haider-Inszenierung als "Schiefheilung" und faschistische Männerphantasie

Die Faszination des rechten Politikers Jörg Haider in Österreich wurde mit Mitteln des szenischen Verstehens von einer Klagenfurter Forschergruppe untersucht. Es handelt sich um eine Inszenierung auf mehreren Bühnen, in der Haider abwechselnd als intergenerationeller Familientherapeut in bezug auf die NS-Vergangenheit, als eine Art Robin Hood oder Django, als großer Gemeinschaftsbildner, als erotischer Führer und als männerbündlerischer Bezwinger weiblicher Bedrohungsbilder agiert. Der letztere Aspekt wird unter Bezugnahme auf Theweleits 'Männerphantasien' ausgeführt

Fast and Flexible Video Content Browsing based on H.264/AVC Features [Demonstration]

ABSTRACT We present a video content browsing tool which is supposed to be used for two purposes: (1) efficiently searching a certain scene within a long video sequence and (2) quickly identifying videos out of interest. Instead of a complex user interface with many features we rather use a simple but flexible player-like interface which can, however, support the user on taking advantage of his/her knowledge about the content semantics. The content analysis is based on some simple features which can be extracted from compressed data of H264/AVC and, thus, allow very fast analysis. An early user study has shown encouraging results

Fast Segmentation of H.264/AVC Bitstreams for On-Demand Video Summarization.

Abstract. Video summarization methods need fast segmentation of a video into smaller units as a first step, especially if used in an on-demand fashion. We propose an efficient segmentation algorithm for H.264/AVC bitstreams that is able to segment a video in appr. 10% of the time required to decode the video. This is possible because our approach uses features available after entropy-decoding (which is the very first stage of the decoding process) only. More precisely, we use a combination of two features, especially appropriate to H.264/AVC, with different characteristics in order to decide if a new segment starts or not: (1) L1-Distance based partition histograms and (2) ratio of intra-coded macroblocks on a per-frame basis. Our results show that this approach performs well and works for several different encoders used in practice today

An Evaluation of Parallelization Concepts for Baseline-Profile compliant H.264/AVC Decoders

Abstract. Due to the increasing performance requirements of decoding H.264/AVC in HDTV or larger resolutions, new approaches are necessary to enable real-time processing. According to the current trend to parallel computation in all performance classes, decoding of AVC must be mapped to these architectures even though this is complicated by the increased complexity and many data dependencies in the codec. We propose and evaluate different ways of using multithreading to speed-up our.NET implemented decoder. While slice based approaches scale best, this is not a flexible approach because of the reliance on specially encoded streams. Functional partitioning and macroblock pipelining prove to be a good alternative for almost all evaluated videos

The V3C1 Dataset: Advancing the State of the Art in Video Retrieval

Standardized datasets are of vital importance in multimedia research, as they form the basis for reproducible experiments and evaluations. In the area of video retrieval, widely used datasets such as the IACC, which has formed the basis for the TRECVID Ad-Hoc Video Search Task and other retrieval-related challenges, have started to show their age. For example, IACC is no longer representative of video content as it is found in the wild. This is illustrated by the figures below, showing the distribution of video age and duration across various datasets in comparison with a sample drawn from Vimeo and Youtube

V3C1 Dataset: An Evaluation of Content Characteristics

In this work we analyze content statistics of the V3C1 dataset, which is the first partition of the Vimeo Creative Commons Collection (V3C). The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content characteristics, and will serve as evaluation basis for the Video Browser Showdown 2019-2021 and TREC Video Retrieval (TRECVID) Ad-Hoc Video Search tasks 2019-2021. The dataset comes with a shot segmentation (around 1 million shots) for which we analyze content specifics and statistics. Our research shows that the content of V3C1 is very diverse, has no predominant characteristics and provides a low self-similarity. Thus it is very well suited for video retrieval evaluations as well as for participants of TRECVID AVS or the VBS

V3C1 Dataset: An Evaluation of Content Characteristics

In this work we analyze content statistics of the V3C1 dataset, which is the first partition of the Vimeo Creative Commons Collection (V3C). The dataset has been designed to represent true web videos in the wild, with good visual quality and diverse content characteristics, and will serve as evaluation basis for the Video Browser Showdown 2019-2021 and TREC Video Retrieval (TRECVID) Ad-Hoc Video Search tasks 2019-2021. The dataset comes with a shot segmentation (around 1 million shots) for which we analyze content specifics and statistics. Our research shows that the content of V3C1 is very diverse, has no predominant characteristics and provides a low self-similarity. Thus it is very well suited for video retrieval evaluations as well as for participants of TRECVID AVS or the VBS