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Multimedia Communication
- Live-PSTR: Live Per-title Encoding for Ultra HD Adaptive Streaming May 19, 2022
- INCEPT: INTRA CU Depth Prediction for HEVC April 26, 2022
- Super-resolution Based Bitrate Adaptation for HTTP Adaptive Streaming for Mobile Devices April 22, 2022
- Take the Red Pill for H3 and See How Deep the Rabbit Hole Goes April 19, 2022
- QoCoVi: QoE- and Cost-Aware Adaptive Video Streaming for the Internet of Vehicles April 15, 2022
- Video Complexity Analyzer (VCA) v1.0 March 9, 2022
- MPEG news: a report from the 137th meeting February 27, 2022
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Recent Posts
- Long Night of Research / Lange Nacht der Forschung, May 20, 2022 May 18, 2022
- Farzad Tashtarian to give a short talk at CHIST-ERA conference. May 9, 2022
- CoPaM: Cost-aware VM Placement and Migration for Mobile Services in a Multi-Cloudlet Environment: An SDN-based Approach May 9, 2022
- EUVIP 2022 Special Session: Machine Learning for Immersive Content Processing May 9, 2022
- OPSE: Online Per-Scene Encoding for Adaptive HTTP Live Streaming May 7, 2022
Category Archives: APOLLO
Paper in CMC-Computers, Materials & Continua Journal accepted
Title: FSpot: Fast Multi-Objective Heuristic for Efficient Video Encoding Workloads over AWS EC2 Spot Instance Fleet [PDF] *** open access *** Authors: Anatoliy Zabrovskiy, Prateek Agrawal, Vladislav Kashansky, Roland Kersche, Christian Timmerer, and Radu Prodan Abstract: HTTP Adaptive Streaming (HAS) … Continue reading
FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning
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
IEEE eScience 2021: Where to Encode: A Performance Analysis of Intel x86 and Arm-based Amazon EC2 Instances
17th 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 … Continue reading
Cluster Computing paper: FastTTPS: Fast Approach for Video Transcoding Time Prediction and Scheduling for HTTP Adaptive Streaming Videos
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
MTAP paper: Automated Bank Cheque Verification Using Image Processing and Deep Learning Methods
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
BigMM’20: ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences using Artificial Neural Network
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