Browsing ODA Open Digital Archive by Author "Midoglu, Cise"

Now showing items 1-20 of 20

    • AI-based clipping of booking events in soccer 

      Rognerud, Robin (Master thesis, 2023)
      Manual clipping is currently the gold standard for extracting highlight clips from soccer games. However, it is a costly, tedious, and time-consuming task that is impractical and unfeasible for, at least, lower-league games ...

    • AI-Based Cropping of Ice Hockey Videos for Different Social Media Representations 

      Houshmand Sarkhoosh, Mehdi; Dorcheh, Sayed Mohammad Majidi; Midoglu, Cise; Shafiee Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål (Peer reviewed; Journal article, 2024)
      Sports multimedia is among the most prominent types of content distributed across social media today, and the retargeting of videos for diverse aspect ratios is essential for a suitable representation on different social ...

    • AI-Based Cropping of Soccer Videos for Different Social Media Representations 

      Houshmand Sarkhoosh, Mehdi; Dorcheh, Sayed Mohammad Majidi; Midoglu, Cise; Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (Chapter; Peer reviewed; Conference object; Journal article, 2024)
      The process of re-publishing soccer videos on social media often involves labor-intensive and tedious manual adjustments, particularly when altering aspect ratios while trying to maintain key visual elements. To address ...

    • AI-Based Sports Highlight Generation for Social Media 

      Midoglu, Cise; Sabet, Saeed; Houshmand Sarkhoosh, Mehdi; Dorcheh, Sayed Mohammad Majidi; Gautam, Sushant; Solberg, Håkon; Kupka, Tomas; Halvorsen, Pål (Chapter; Peer reviewed; Conference object, 2024)
      Social media plays a significant role for sports organizations with millions of active fans, but publishing highlights is often a tedious manual operation. With the development of AI, new tools are available for content ...

    • Analyzing and Benchmarking the Performance of Different Cloud Services for Agile App Deployment 

      Hiorthøy, Mikkel (Master thesis, 2023)
      Cloud computing has become a popular method for organizations to deploy and host websites. The cloud offers several innovative solutions and services for these tasks, but they also bring new challenges. Selecting the ...

    • Cloud Operations to Support UX and Accessibility for Crowdsourced Online Survey Framework Deployment 

      Øvstedal, Bjørge Seim (Master thesis, 2023)
      This study investigates different cloud service providers (CSPs) and their deployment platforms in terms of user friendliness and experience. With the help of Docker virtualization, allowing to create an isolated environment, ...

    • HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey 

      Husa, Andreas; Midoglu, Cise; Hammou, Malek; Halvorsen, Pål; Riegler, Michael (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      We present HOST-ATS, a holistic system for the automatic selection and evaluation of soccer video thumbnails, which is composed of a dashboard-controlled machine learning (ML) pipeline, and a dynamic user survey. The ML ...

    • Huldra: a framework for collecting crowdsourced feedback on multimedia assets 

      Hammou, Malek; Midoglu, Cise; Hicks, Steven; Storås, Andrea; Sabet, Saeed; Strumke, Inga; Riegler, Michael; Halvorsen, Pål (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      Collecting crowdsourced feedback to evaluate, rank, or score multimedia content can be cumbersome and time-consuming. Most of the existing survey tools are complicated, hard to customize, or tailored for a specific asset ...

    • Kvasir-VQA: A Text-Image Pair GI Tract Dataset 

      Gautam, Sushant; Storås, Andrea; Midoglu, Cise; Hicks, Steven; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael Alexander (Chapter; Peer reviewed; Conference object, 2024)
      We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with questionand-answer annotations to facilitate advanced machine learning tasks in Gastrointestinal (GI) ...

    • A large-scale multivariate soccer athlete health, performance, and position monitoring dataset 

      Midoglu, Cise; Winther, Andreas Kjæreng; Boeker, Matthias; Pettersen, Susann Dahl; Ragab, Nourhan; Kupka, Tomas; Hicks, Steven; Bredsgaard Randers Thomsen, Morten; Jain, Ramesh; Dagenborg, Håvard Johansen; Pettersen, Svein Arne; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (Peer reviewed; Journal article, 2024)
      Data analysis for athletic performance optimization and injury prevention is of tremendous interest to sports teams and the scientific community. However, sports data are often sparse and hard to obtain due to legal ...

    • Multimedia streaming analytics: quo vadis? 

      Midoglu, Cise; Avelino, Mariana; Gopalakrishnan, Shri Hari; Pham, Stefan; Halvorsen, Pål (MHV: Mile-High Video;MHV '22: Proceedings of the 1st Mile-High Video Conference, Conference object, 2022)
      In today’s complex OTT multimedia streaming ecosystem, the task of ensuring the best streaming experience to end-users requires extensive monitoring, and such monitoring information is relevant to various stakeholders ...

    • Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media 

      HoushmandSarkhoosh, Mehdi (Master thesis, 2024)
      Soccer is not only a beloved global sport but also a significant industry that generates substantial revenue through sponsorship, merchandise, broadcast rights, and ticket sales. In today’s digital age, the way fans consume ...

    • Poster: QoE-Based Analysis of Real-Time Adaptive 360-Degree Video Streaming 

      Midoglu, Cise; Klausen, Magnus; Alay Erduran, Özgü; Yazidi, Anis; Haugerud, Hårek; Griwodz, Carsten (S3: Wireless of the Students, by the Students, for the Students;S3'19: Proceedings of the 2019 on Wireless of the Students, by the Students, and for the Students Workshop, Conference object, 2019-10)
      We propose a QoE-based analysis approach for real-time adaptive 360-degree video streaming measurements, focusing on the correlation between objective video metrics and subjective end-user scores.

    • SmartCrop-H: AI-Based Cropping of Ice Hockey Videos 

      Dorcheh, Sayed Mohammad Majidi; Houshmand Sarkhoosh, Mehdi; Midoglu, Cise; Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Halvorsen, Pål (Chapter; Peer reviewed; Conference object, 2024)
      Sports multimedia plays a central role in captivating audiences on social media platforms. However, fast-paced sports such as ice hockey pose unique challenges due to their swift gameplay and the small puck size, making ...

    • SmartCrop: AI-Based Cropping of Sports Videos 

      Majidi Dorcheh, Sayed Mohammad (Master thesis, 2024)
      Sports multimedia is among the most prominent types of content distributed across social media today, necessitating the retargeting of videos to diverse aspect ratios for appropriate representation on different platforms. ...

    • Smittestopp Backend 

      Midoglu, Cise; Ragan-Kelley, Benjamin; Reinemo, Sven- Arne; Jahren, Jon; Halvorsen, Pål (Simula SpringerBriefs on Computing;Volume 11, Chapter; Peer reviewed; Journal article, 2022-06-18)
      An efficient backend solution is of great importance for any large-scale system, and Smittestopp is no exception. The Smittestopp backend comprises various components for user and device registration, mobile app data ...

    • Soccer athlete performance prediction using time series analysis 

      Ragab, Nourhan (ACIT;2022, Master thesis, 2022)
      Regardless of the sport you prefer, your favorite athlete has almost certainly disappointed you at some point. Did you jump to a conclusion and dismissed it as "not their day"? Or, did you consider the underlying causes for ...

    • Soccer Game Summarization using Audio Commentary, Metadata, and Captions 

      Gautam, Sushant; Midoglu, Cise; Sabet, Saeed; Kshatri, Dinesh Baniya; Halvorsen, Pål (MM: International Multimedia Conference;MM '22: The 30th ACM International Conference on Multimedia, Conference object, 2022)
      Soccer is one of the most popular sports globally, and the amount of soccer-related content worldwide, including video footage, audio commentary, team/player statistics, scores, and rankings, is enormous and rapidly growing. ...

    • SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries 

      Strand, Aleksander Strand (Master thesis, 2024)
      The rapid growth and increasing availability of sports multimedia and metadata demands advanced information retrieval systems capable of efficiently processing vast amounts of multimodal data. This paper introduces SoccerRAG, ...

    • Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations 

      Hicks, Steven; Storås, Andrea; Riegler, Michael; Midoglu, Cise; Hammou, Malek; Lange, Thomas de; Parasa, Sravanthi; Halvorsen, Pål; Strumke, Inga (Peer reviewed; Journal article, 2024)
      Deep learning has achieved immense success in computer vision and has the potential to help physicians analyze visual content for disease and other abnormalities. However, the current state of deep learning is very much a ...