464 citations
- Graz University of TechnologyAT18 papers
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14 papers · 1 filter
End-to-End Learning-based Video Streaming Enhancement Pipeline: A Generative AI Approach
Emanuele Artioli, Farzad Tashtarian, Christian Timmerer
The primary challenge of video streaming is to balance high video quality with smooth playback. Traditional codecs are well tuned for this trade-off, yet their inability to use con…
YTLive: A Dataset of Real-World YouTube Live Streaming Sessions
Mojtaba Mozhganfar, Pooya Jamshidi, Seyyed Ali Aghamiri +5
Live streaming plays a major role in today's digital platforms, supporting entertainment, education, social media, etc. However, research in this field is limited by the lack of la…
The State-of-the-Art in Lifelog Retrieval: A Review of Progress at the ACM Lifelog Search Challenge Workshop 2022-24
Allie Tran, Werner Bailer, Duc-Tien Dang-Nguyen +8
The ACM Lifelog Search Challenge (LSC) is a venue that welcomes and compares systems that support the exploration of lifelog data, and in particular the retrieval of specific infor…
The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding
Luca Rossetto, Werner Bailer, Duc-Tien Dang-Nguyen +11
Egocentric video has seen increased interest in recent years, as it is used in a range of areas. However, most existing datasets are limited to a single perspective. In this paper,…
Energy-efficient Adaptive Video Streaming with Latency-Aware Dynamic Resolution Encoding
Vignesh V Menon, Amritha Premkumar, Prajit T Rajendran +4
Traditional per-title encoding schemes aim to optimize encoding resolutions to deliver the highest perceptual quality for each representation. However, keeping the encoding time wi…
Optimal Quality and Efficiency in Adaptive Live Streaming with JND-Aware Low latency Encoding
Vignesh V Menon, Jingwen Zhu, Prajit T Rajendran +4
In HTTP adaptive live streaming applications, video segments are encoded at a fixed set of bitrate-resolution pairs known as bitrate ladder. Live encoders use the fastest available…