Entries by Margit Letter

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Klaus Schöffmann gave a Keynote Talk about “The Use of AI in Image and Video Retrieval Over the last Decade” at the MVRMLM 2024 Workshop, co-located with ACM ICMR 2024

Together with Cathal Gurrin from DCU, Ireland, on June 14, 2024, Klaus Schöffmann gave a keynote talk about “From Concepts to Embeddings. Charting the Use of AI in Digital Video and Lifelog Search Over the Last Decade” at the International Workshop on Multimodal Video Retrieval and Multimodal Language Modelling (MVRMLM’24), co-located with the ACM ICMR […]


ITEC Wins Lifelog Search Challenge 2024 (LSC 2024) Again!

On June 10, 2024, the 7th Lifelog Search Challenge (LSC 2024), an international competition on lifelog retrieval took place as a workshop at the ACM International Conference on Multimedia Retrieval (ICMR 2024) in Phuket, Thailand. The LSC is organized by a large international team (Cathal Gurrin, Björn Þór Jónsson, Duc-Tien Dang-Nguyen, Jakub Lokoc, Klaus Schoeffmann, […]


ACM ICMR 2024 Successfully Concluded, co-organized by ITEC

From June 10, 2024 until June 14, 2024, the ACM International Conference on Multimedia Retrieval (ICMR 2024) took place in Phuket, Thailand. It was organized by Cathal Gurrin (DCU), Klaus Schoeffmann (ITEC, AAU), and Rachada Kongkachandra (Thammasat University). ICMR 2024 received 348 paper submissions and about 80 more to the nine co-located workshops (LSC’24, AI-SIPM’24, […]

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Hadi Amirpour received Best Paper Award @ 2024 Picture Coding Symposium

At the PCS 2024 (Picture Coding Symposium), held in Taichung, Taiwan from June 12-14, Hadi Amirpour received the Best Paper Award for the paper “Beyond Curves and Thresholds – Introducing Uncertainty Estimation To Satisfied User Ratios for Compressed Video” written together with Jingwen Zhu, Raimund Schatz, Patrick Le Callet and Christian Timmerer. Congratulations!


Paper accepted: Content-aware Reference Frame Synthesis for Enhanced Inter Prediction

Authors: Mohammad Ghasempour (AAU, Austria), Yiying Wei (AAU, Austria), Hadi Amirpour (AAU, Austria),  and Christian Timmerer (AAU, Austria) Venue: European Signal Processing Conference (EUSIPCO) Abstract: Video coding relies heavily on reducing spatial and temporal redundancy to enable efficient transmission. To tackle the temporal redundancy, each video frame is predicted from the previously encoded frames, known as reference […]


Paper accepted: Decoding Complexity-Aware Bitrate-Ladder Estimation for Adaptive VVC Streaming

Authors: Zoha Azimi, Amritha Premkumar, Reza Farahani, Vignesh V Menon, Christian Timmerer, Radu Prodan Venue: 32nd European Signal Processing Conference (EUSIPCO’24) Abstract: Traditional per-title encoding approaches aim to maximize perceptual video quality by optimizing resolutions for each bitrate ladder representation. However, ensuring acceptable decoding times in video streaming, especially with the increased runtime complexity of modern […]

GraphSys’24: The Second Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems (Co-located with ICPE 2024)

The Second Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems (GraphSys ’24) took place in South Kensington, London, co-located with the 15th ACM/SPEC International Conference on Performance Engineering. Reza Farahani gave a talk entitled “Serverless Workflow Management Systems on the Computing Continuum” Authors: Reza Farahani (AAU, Klagenfurt, Austria), Frank Loh (University of Würzburg, Germany), […]

Organisation of 7th Workshop on Hot Topics in Cloud Computing Performance

Dragi Kimovski co-chaired the 7th Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf 2024) workshop within the International Conference on Performance Engineering (ICPE). During the workshop, he presented a paper titled “Hypergraphs: Facilitating High-Order Modeling of the Computing Continuum.” This event, held at Imperial College London on May 11, 2024, focused on various aspects […]


Paper accepted in Nature Scientific Data

Title: Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos Authors: Negin Ghamsarian, Yosuf El-Shabrawi, Sahar Nasirihaghighi, Doris Putzgruber-Adamitsch, Martin Zinkernagel, Sebastian Wolf, Klaus Schoeffmann, and Raphael Sznitman Abstract: In recent years, the landscape of computer-assisted interventions and post-operative surgical video analysis has been dramatically reshaped by deep-learning techniques, resulting in significant advancements in surgeons’ […]