What is he best known for?
The fields of study he is best known for:
- The Internet
- Computer network
- Operating system
Christian Timmerer mainly investigates Multimedia, Dynamic Adaptive Streaming over HTTP, Computer network, Quality of experience and Adaptation.
His Multimedia study integrates concerns from other disciplines, such as Service quality, Standardization, Variety, MPEG-21 and Virtual reality.
His studies in Standardization integrate themes in fields like Metadata and World Wide Web.
His Dynamic Adaptive Streaming over HTTP research includes elements of Real-time computing and The Internet.
In his study, Video quality, Web server, Implementation and Content delivery is strongly linked to Dash, which falls under the umbrella field of Computer network.
His Quality of experience research is included under the broader classification of Quality of service.
His most cited work include:
- Qualinet White Paper on Definitions of Quality of Experience (353 citations)
- Dynamic adaptive streaming over HTTP dataset (341 citations)
- An evaluation of dynamic adaptive streaming over HTTP in vehicular environments (211 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Multimedia, Quality of experience, Computer network, The Internet and Dynamic Adaptive Streaming over HTTP.
His Multimedia research is multidisciplinary, relying on both Metadata, World Wide Web, Interoperability and MPEG-21, Adaptation.
His Quality of experience research integrates issues from Crowdsourcing, Video quality and Synchronization.
As a member of one scientific family, Christian Timmerer mostly works in the field of Computer network, focusing on Scalable Video Coding and, on occasion, Multicast and Real-time computing.
His The Internet study which covers Bandwidth that intersects with Encoding, Codec, Internet traffic and Distributed computing.
His Dynamic Adaptive Streaming over HTTP research is multidisciplinary, incorporating perspectives in Dash, Content centric networking, Real Time Streaming Protocol and Hypertext Transfer Protocol.
He most often published in these fields:
- Multimedia (61.95%)
- Quality of experience (19.03%)
- Computer network (17.26%)
What were the highlights of his more recent work (between 2019-2021)?
- Encoding (4.87%)
- Artificial intelligence (4.87%)
- The Internet (16.37%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Encoding, Artificial intelligence, The Internet, Real-time computing and Bandwidth.
His The Internet study combines topics from a wide range of disciplines, such as Transcoding, Artificial neural network, Live streaming, Average bitrate and Dynamic Adaptive Streaming over HTTP.
His work in Real-time computing tackles topics such as Codec which are related to areas like QUIC, Packet loss, Video quality, Retransmission and Scalable Video Coding.
His research in Bandwidth intersects with topics in Subjective quality, Motion, Rate adaptation and Algorithmic efficiency.
Christian Timmerer works mostly in the field of Reference software, limiting it down to concerns involving ISO base media file format and, occasionally, Multimedia.
As part of his studies on Multimedia, he often connects relevant areas like Immersion.
Between 2019 and 2021, his most popular works were:
- Fast Multi-rate Encoding for Adaptive HTTP Streaming (3 citations)
- FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning (2 citations)
- Automated bank cheque verification using image processing and deep learning methods (2 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Operating system
Christian Timmerer mostly deals with Artificial intelligence, Real-time computing, Deep learning, Cashier's check and Data mining.
Christian Timmerer has included themes like Reference software, Multi rate and Rate–distortion optimization in his Artificial intelligence study.
His work carried out in the field of Real-time computing brings together such families of science as Live streaming, Average bitrate, The Internet, Dynamic Adaptive Streaming over HTTP and Service provider.
He has researched Deep learning in several fields, including Cheque truncation and Cheque.
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