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The goal of video segmentation is to turn video data into a set of concrete motion clusters that can be easily interpreted as building blocks of the video. There are some works on similar topics like detecting scene cuts in a video, but…

Computer Vision and Pattern Recognition · Computer Science 2019-03-07 Hajar Sadeghi Sokeh , Vasileios Argyriou , Dorothy Monekosso , Paolo Remagnino

Trajectories are fundamental in different skiing disciplines. Tools enabling the analysis of such curves can enhance the training activity and enrich the broadcasting contents. However, the solutions currently available are based on…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Matteo Dunnhofer , Alberto Zurini , Maurizio Dunnhofer , Christian Micheloni

Video summarization methods are usually classified into shot-level or frame-level methods, which are individually used in a general way. This paper investigates the underlying complementarity between the frame-level and shot-level methods,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-05 Yubo An , Shenghui Zhao , Guoqiang Zhang

Real-time computational speed and a high degree of precision are requirements for computer-assisted interventions. Applying a segmentation network to a medical video processing task can introduce significant inter-frame prediction noise.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-06 Robert Mendel , Tobias Rueckert , Dirk Wilhelm , Daniel Rueckert , Christoph Palm

Human pose detection systems based on state-of-the-art DNNs are on the go to be extended, adapted and re-trained to fit the application domain of specific sports. Therefore, plenty of noisy pose data will soon be available from videos…

Computer Vision and Pattern Recognition · Computer Science 2020-04-22 Rainer Lienhart , Moritz Einfalt , Dan Zecha

Trajectories are fundamental to winning in alpine skiing. Tools enabling the analysis of such curves can enhance the training activity and enrich broadcasting content. In this paper, we propose SkiTraVis, an algorithm to visualize the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-18 Matteo Dunnhofer , Luca Sordi , Christian Micheloni

A simple method for synchronization of video streams with a precision better than one millisecond is proposed. The method is applicable to any number of rolling shutter cameras and when a few photographic flashes or other abrupt lighting…

Computer Vision and Pattern Recognition · Computer Science 2020-08-10 Matej Smid , Jiri Matas

Sports video analysis is a prevalent research topic due to the variety of application areas, ranging from multimedia intelligent devices with user-tailored digests up to analysis of athletes' performance. The Sports Video task is part of…

Computer Vision and Pattern Recognition · Computer Science 2021-12-22 Pierre-Etienne Martin , Jordan Calandre , Boris Mansencal , Jenny Benois-Pineau , Renaud Péteri , Laurent Mascarilla , Julien Morlier

Analyzing periodic video sequences is a key topic in applications such as automatic production systems, remote sensing, medical applications, or physical training. An example is counting repetitions of a physical exercise. Due to the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 Matteo Destro , Michael Gygli

This paper proposes an open source visual analytics tool consisting of several views and perspectives on eye movement data collected during code reading tasks when writing computer programs. Hence the focus of this work is on code and…

Human-Computer Interaction · Computer Science 2022-08-02 Ayush Kumar , Ashish Kumar , Aakanksha Prasad , Michael Burch , Shenghui Cheng , Klaus Mueller

In this paper we address the problem of motion event detection in athlete recordings from individual sports. In contrast to recent end-to-end approaches, we propose to use 2D human pose sequences as an intermediate representation that…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Moritz Einfalt , Rainer Lienhart

We introduce an approach to recommending short-lived dynamic packages for golf booking services. Two challenges are addressed in this work. The first is the short life of the items, which puts the system in a state of a permanent cold…

Information Retrieval · Computer Science 2021-03-16 Robin Swezey , Young-joo Chung

Samples of curves, or functional data, usually present phase variability in addition to amplitude variability. Existing functional regression methods do not handle phase variability in an efficient way. In this paper we propose a functional…

Methodology · Statistics 2013-10-09 Daniel Gervini

Most existing action quality assessment methods rely on the deep features of an entire video to predict the score, which is less reliable due to the non-transparent inference process and poor interpretability. We argue that understanding…

Computer Vision and Pattern Recognition · Computer Science 2022-04-08 Jinglin Xu , Yongming Rao , Xumin Yu , Guangyi Chen , Jie Zhou , Jiwen Lu

For autonomous driving or advanced driving assistance, it is key to monitor the vehicle dynamics behavior. Accurate models of this behavior include acceleration, but also the side-slip angle, that eventually results from the complex…

Robotics · Computer Science 2023-06-08 Agapius Bou Ghosn , Marcus Nolte , Philip Polack , Arnaud de La Fortelle

Orientation is a crucial skill for football players that becomes a differential factor in a large set of events, especially the ones involving passes. However, existing orientation estimation methods, which are based on computer-vision…

Machine Learning · Computer Science 2021-06-02 Adrià Arbués-Sangüesa , Adrián Martín , Paulino Granero , Coloma Ballester , Gloria Haro

This paper addresses the challenge of automated sports video analysis, which has traditionally been limited by computationally intensive models requiring server-side processing and lacking fine-grained understanding of athletic movements.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Sai Varun Kodathala , Yashwanth Reddy Vutukoori , Rakesh Vunnam

In the competitive realm of sports, optimal performance necessitates rigorous management of nutrition and physical conditioning. Specifically, in badminton, the agility and precision required make it an ideal candidate for motion analysis…

Human-Computer Interaction · Computer Science 2024-03-15 Dhruv Toshniwal , Arpit Patil , Nancy Vachhani

Sports video analysis is a widespread research topic. Its applications are very diverse, like events detection during a match, video summary, or fine-grained movement analysis of athletes. As part of the MediaEval 2022 benchmarking…

Online streaming is an emerging market that address much attention. Assessing gaming skills from videos is an important task for streaming service providers to discover talented gamers. Service providers require the information to offer…

Machine Learning · Computer Science 2023-07-25 Longxiang Zhang , Wenping Wang