Category Archives: APOLLO

Paper in CMC-Computers, Materials & Continua Journal accepted

Posted on November 23, 2021 by

Title: FSpot: Fast Multi-Objective Heuristic for Efficient Video Encoding Workloads over AWS EC2 Spot Instance Fleet Authors: Anatoliy Zabrovskiy, Prateek Agrawal, Vladislav Kashansky, Roland Kersche, Christian Timmerer, and Radu Prodan Abstract: HTTP Adaptive Streaming (HAS) of video content is becoming … Continue reading →

Posted in APOLLO, News | Comments Off on Paper in CMC-Computers, Materials & Continua Journal accepted

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

Posted on September 29, 2021 by

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning 30th IEEE Conference of the Open Innovations Association FRUCT 27-29 October 2021 https://www.fruct.org/ [PDF][Slides][Video] Anatoliy Zabrovskiy, Prateek Agrawal, Christian Timmerer, and Radu Prodan Abstract: HTTP adaptive video streaming is … Continue reading →

Posted in APOLLO, News | Comments Off on FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

IEEE eScience 2021: Where to Encode: A Performance Analysis of Intel x86 and Arm-based Amazon EC2 Instances

Posted on August 18, 2021 by

IEEE eScience 2021 20-23 September 2021 // Innsbruck, Austria // Online Conference Conference Website [PDF][Slides][Video] Roland Matha´∗, Dragi Kimovski*, Anatoliy Zabrovskiy*‡, Christian Timmerer*†, Radu Prodan* Institute of Information Technology (ITEC), University of Klagenfurt, Austria* Bitmovin, Klagenfurt, Austria† Petrozavodsk State University, … Continue reading →

Posted in APOLLO, News | Comments Off on IEEE eScience 2021: Where to Encode: A Performance Analysis of Intel x86 and Arm-based Amazon EC2 Instances

Cluster Computing paper: FastTTPS: Fast Approach for Video Transcoding Time Prediction and Scheduling for HTTP Adaptive Streaming Videos

Posted on November 3, 2020 by

Cluster Computing paper: FastTTPS: Fast Approach for Video Transcoding Time Prediction and Scheduling for HTTP Adaptive Streaming Videos Cluster Computing (Springer Journal) [PDF] Prateek Agrawal (University of Klagenfurt, Austria), Anatoliy Zabrovskiy (University of Klagenfurt, Austria), Adithyan Ilagovan (Bitmovin Inc., CA, … Continue reading →

Posted in APOLLO, News | Comments Off on Cluster Computing paper: FastTTPS: Fast Approach for Video Transcoding Time Prediction and Scheduling for HTTP Adaptive Streaming Videos

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 →

Posted in APOLLO, News | Comments Off on MTAP paper: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods

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 →

Posted in APOLLO, News | Comments Off on BigMM’20: ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences using Artificial Neural Network