Category Archives: ATHENA

MTAP paper: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods

Posted on September 15, 2020 by

MTAP paper: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods Multimedia tools and applications (Springer Journal) [PDF] Prateek Agrawal (University of Klagenfurt, Austria), Deepak Chaudhary (Lovely Professional University, India), Vishu Madaan (Lovely professional University, India), Anatoliy Zabrovskiy … Continue reading →

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VCIP’20: FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning

Posted on August 31, 2020 by

FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning IEEE International Conference on Visual Communications and Image Processing (VCIP) 1-4 December 2020, Macau http://www.vcip2020.org/ [PDF][Slides][Video] Ekrem Çetinkaya (Alpen-Adria-Universität Klagenfurt), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), and Mohammad … Continue reading →

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Interns at the ATHENA Christian Doppler Laboratory

Posted on August 13, 2020 by

In July 2020, the ATHENA Christian Doppler Laboratory hosted three interns working on the following topics: Indira Pal: Quality of Experience for HTTP Adaptive Streaming based use cases and scenarios. Ilja Pronegg: Machine learning methods for HTTP Adaptive Streaming. Miriam … Continue reading →

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Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC

Posted on August 10, 2020 by

Scalable High Efficiency Video Coding based HTTP Adaptive Streaming over QUIC Proceedings of the Workshop on the Evolution, Performance, and Interoperability of QUIC (EPIQ’20) August 10 – 14, 2020 | New York, USA [PDF][Slides][Video] Minh Nguyen (AAU, Austria), Hadi Amirpour … Continue reading →

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ACM Multimedia’20: Relevance-Based Compression of Cataract Surgery Videos Using Convolutional Neural Networks

Posted on July 26, 2020 by

ACM International Conference on Multimedia 2020, Seattle, United States. [PDF][Slides][Video] Negin Ghamsarian (Alpen-Adria-Universität Klagenfurt), Hadi Amirpour (Alpen-Adria-Universität Klagenfurt), Christian Timmerer (Alpen-Adria-Universität Klagenfurt), Mario Taschwer (Alpen-Adria-Universität Klagenfurt), and Klaus Schöffmann (Alpen-Adria-Universität Klagenfurt) Abstract: Recorded cataract surgery videos play a prominent role in training and … Continue reading →

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QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)

Posted on July 16, 2020 by

QUALINET announces its recent White Paper on Definitions of Immersive Media Experience (IMEx). It is online available here https://arxiv.org/abs/2007.07032 for free. With the coming of age of virtual/augmented reality and interactive media, numerous definitions, frameworks, and models of immersion have … Continue reading →

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BigMM’20: ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences using Artificial Neural Network

Posted on July 6, 2020 by

ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 New Delhi. http://bigmm2020.org/ [PDF][Slides][Video] Anatoliy Zabrovskiy (Alpen-Adria-Universität Klagenfurt), Prateek Agrawal (Alpen-Adria-Universität Klagenfurt, … Continue reading →

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