Results of collaborative work in the ADAPT between Austira (FFG) and China (CAS) accteped at flagship conference of IEEE Intelligent Transportation Systems Society
Title: Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform
Authors: Aso Validi, Vladislav Kashansky, Jihed Khiari, Hamid Hadian, Radu Pordan, Juanjuan Li, Fei-Yue Wang, Cristina Olaverri-Monreal
Abstract: Hybrid on/off-blockchain vehicle data management approaches have received a lot of attention in recent years. However, there are various technical challenges remained to deal with. In this paper we relied on real-world data from Austria to investigate the effects of connectivity on the transport of personal protective equipment. We proposed a three-step mechanism to process, simulate, and store/visualize aggregated vehicle datasets together with a formal pipeline process workflow model. To this end, we implemented a hybrid blockchain platform based on the hyperledger fabric and Gluster file systems. The obtained results demonstrated efficiency and stability for both hyperledger fabric and gluster file system, ability of the both on/off-blockchain mechanisms to meet the platform’s quality of service requirements.
The 13th ACM Multimedia Systems Conference MMSys’22
14th – 17th June 2022 | Athlone, Ireland.
Conference Website
The ACM Multimedia Systems Conference (MMSys) provides a forum for researchers to present and share their latest research findings in multimedia systems. While research about specific aspects of multimedia systems is regularly published in the various proceedings and transactions of the networking, operating systems, real-time systems, databases, mobile computing, distributed systems, computer vision, and middleware communities, MMSys aims to cut across these domains in the context of multimedia data types.
This year, MMSys hosted around 150 on-site participants from academia and industry. Five ATHENA members travelled to Athlone, Ireland, to present four papers by Reza Farahani, Babak Taraghi, and Vignesh V Menon in two tracks, i.e., Open Dataset & Software Track and Demo & Industry Track.
- Multi-Codec Ultra High Definition 8K MPEG-DASH Dataset
- VCD: Video Complexity Dataset
- VCA: Video Complexity Analyzer
- Towards Low Latency Live Streaming: Challenges in a Real-World Deployment
Moreover, two presentations in Mentoring & Postdoc Networking event by ATHENA postdocs:
- Hadi Amirpour, “Video Encoding Optimization for Live Video Streaming” (pdf)
- Farzad Tashtarian, “QoE Optimization in Live Streaming” (pdf)
We presented the poster “The Power in Your Pocket: Boosting Video Quality with Super-Resolution on Mobile Devices” at the Austrian Computer Science Day 2022 conference. The poster summarizes research about improving the visual quality of video streaming on mobile devices by utilizing deep neural network-based enhancement techniques.
Here is the list of papers that we cover in the poster:
On Saturday (June 18, 2022), Sebastian Uitz presented his game “A Webbing Journey” with his partner Manuel Santner at the A1 Austria eSports Festival in the Austria Center Vienna. The game didn’t fit into the Esports-themed event, but the 2 PCs prepared to play the game were constantly used by players of all ages. Especially the target audience (children 8-12) had so much fun, and the parents had to wait until the kids were done playing. The event was a great success as it was the biggest play session yet and resulted in tons of feedback that will be implemented and bugs that will be fixed until the next event.
Short description: The Intel4EC workshop aims to bring together researchers, developers and practitioners from academia and industry to present their experiences, results and research progress covering architectural designs, methods and applications of AI/ML-enabled Edge-Cloud operations and services. By bringing together these research topics, Intel4EC looks forward to help the community define open standards, AI/ML benchmarks that contribute to experiment reproducibility and systematize the complete management pipeline for a myriad of Cloud-Edge operations.
Organisers: Nishant Saurabh, Zhiming Zhao and Dragi Kimovski
Website and call for papers: https://www.intel4ec-workshop.nl/
IEEE 35th International Symposium on Computer Based Medical Systems (CBMS), July 21-23, Shenzen, China
https://2022.cbms-conference.org
Authors: Natalia Mathá, Klaus Schoeffmann, Stephanie Sarny, Doris Putzgruber-Adamitsch and Yosuf El-Shabrawi
Abstract: In recent years, the utilization intensity and thus the demand for storing cataract surgery videos for different purposes has increased. Hospitals continuously improve their technical recording equipment, i.e., cameras, to enhance the post-operative processing efficiency of the recordings. However, afterward, the videos are stored on hospitals’ internal data servers in their original size, which leads to a massive storage consumption. In this paper, we propose a relevance-based compression scheme. First, we perform a user study with clinicians to define the relevance rates of regular cataract surgery phases. Then, we compress different phases based on the determined relevance rates, using different encoding parameters and two coding standards, namely H.264/AVC and AV1. Afterward, the medical experts evaluate the visual quality of the encoded videos. Our results show a storage-saving potential for H.264/AVC of up to 95.94% and up to 98.82% for AV1, excluding idle phases (no tools are visible).
25th International Conference on Medical Image Computing and Computer Assisted Intervention, September 18-22, 2022, Singapore
https://conferences.miccai.org/2022/en/
Authors: Negin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann
Abstract: Semantic segmentation in cataract surgery has a wide range of applications contributing to surgical outcome enhancement and clinical risk reduction. However, the varying issues in segmenting the different relevant structures in these surgeries make the designation of a unique network quite challenging. This paper proposes a semantic segmentation network termed, DeepPyram, that can deal with these challenges using three novelties: (1) a Pyramid View Fusion module which provides a varying-angle global view of the surrounding region centering at each pixel position in the input convolutional feature map; (2) a Deformable Pyramid Reception module which enables a wide deformable receptive field that can adapt to geometric transformations in the object of interest; and (3) a dedicated Pyramid Loss that adaptively supervises multi-scale semantic feature maps. Compbined we show that these can effectively boost semantic segmentation performance, especially in the case of transparency, deformability, scalability, and blunt edges in objects. We demonstrate that our approach performs at a state-of-the-art level and outperforms a number of existing methods without imposing additional trainable parameters.
For his continuous support of the International Conference on MultiMedia Modeling (MMM) and his ongoing contributions to the MMM community, yesterday Assoc.Prof. Klaus Schöffmann was awarded with the MMM’22 Community Leadership Award at the Gala Dinner in Phu Quoc, Vietnam.
