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Generating video descriptions in natural language (a.k.a. video captioning) is a more challenging task than image captioning as the videos are intrinsically more complicated than images in two aspects. First, videos cover a broader range of…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Shizhe Chen , Jia Chen , Qin Jin

This study explores a handheld, battery-operated e-ink device displaying Google Scholar citation statistics. The StatCounter places academic metrics into the flow of daily life rather than a desktop context. The work draws on a…

Human-Computer Interaction · Computer Science 2026-02-18 Jonas Oppenlaender

Modern machine learning methods require significant amounts of labelled data, making the preparation process time-consuming and resource-intensive. In this paper, we propose to consider the process of prototyping a tool for annotating and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Nikita Ivanov , Mark Klimov , Dmitry Glukhikh , Tatiana Chernysheva , Igor Glukhikh

Existing dense or paragraph video captioning approaches rely on holistic representations of videos, possibly coupled with learned object/action representations, to condition hierarchical language decoders. However, they fundamentally lack…

Computer Vision and Pattern Recognition · Computer Science 2024-01-10 Shih-Han Chou , James J. Little , Leonid Sigal

As computing devices become increasingly integrated into daily life, there is a growing need for intuitive, always-available interaction methods, even when users' hands are occupied. In this paper, we introduce Grab-n-Go, the first wearable…

Human-Computer Interaction · Computer Science 2025-08-18 Chi-Jung Lee , Jiaxin Li , Tianhong Catherine Yu , Ruidong Zhang , Vipin Gunda , François Guimbretière , Cheng Zhang

This exploratory study investigates the intersection of Generative AI tools and experiential learning in business education. Through a case study of an innovative undergraduate course, we examine how students interact with and adapt to…

Artificial Intelligence · Computer Science 2025-06-09 Nicole C. Wang

Videos are more informative than images because they capture the dynamics of the scene. By representing motion in videos, we can capture dynamic activities. In this work, we introduce GPT-4 generated motion descriptions that capture…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Chinmaya Devaraj , Cornelia Fermuller , Yiannis Aloimonos

Teachers of the visually impaired (TVIs) regularly present tactile materials (tactile graphics, 3D models, and real objects) to students with vision impairments. Researchers have been increasingly interested in designing tools to support…

Human-Computer Interaction · Computer Science 2022-02-25 Mahika Phutane , Julie Wright , Brenda Veronica Castro , Lei Shi , Simone R. Stern , Holly M. Lawson , Shiri Azenkot

Most education and workplace learning takes place in classroom contexts far removed from laboratories or field sites with special arrangements for scientific research. But digital online resources provide a novel opportunity for large scale…

Computers and Society · Computer Science 2015-02-17 Joseph Jay Williams , Juho Kim , Brian C. Keegan

Recently developed methods for video analysis, especially models for pose estimation and behavior classification, are transforming behavioral quantification to be more precise, scalable, and reproducible in fields such as neuroscience and…

Quantitative Methods · Quantitative Biology 2023-03-10 Kevin Luxem , Jennifer J. Sun , Sean P. Bradley , Keerthi Krishnan , Eric A. Yttri , Jan Zimmermann , Talmo D. Pereira , Mark Laubach

Our aim is to propose a collaborative methodological approach centred on learners and based on the Web 2.0 tools in order to make E-learning 2.0. It is based on a process consisting of four iterative steps which are: grouping,…

Computers and Society · Computer Science 2010-01-27 Boubker Sbihi , Kamal Eddine El Kadiri

In this paper we describe and evaluate a mixed reality system that aims to augment users in task guidance applications by combining automated and unsupervised information collection with minimally invasive video guides. The result is a…

Human-Computer Interaction · Computer Science 2017-01-11 Teesid Leelasawassuk , Dima Damen , Walterio Mayol-Cuevas

In this paper, we propose an AI based approach to Trailer Generation in the form of short videos for online educational courses. Trailers give an overview of the course to the learners and help them make an informed choice about the courses…

Computation and Language · Computer Science 2023-01-11 Prakhar Mishra , Chaitali Diwan , Srinath Srinivasa , G. Srinivasaraghavan

Artists and especially new media artists contribute to public perceptions and adoption of new technologies through their own use of emerging media technologies such as augmented and virtual reality, generative image systems, and…

Computers and Society · Computer Science 2025-07-09 Chelsea Thompto

The online emergence of multi-modal sharing platforms (eg, TikTok, Youtube) is powering personalized recommender systems to incorporate various modalities (eg, visual, textual and acoustic) into the latent user representations. While…

Information Retrieval · Computer Science 2023-07-19 Wei Wei , Chao Huang , Lianghao Xia , Chuxu Zhang

An essential task in analyzing collaborative design processes, such as those that are part of workshops in design studies, is identifying design outcomes and understanding how the collaboration between participants formed the results and…

Human-Computer Interaction · Computer Science 2025-08-11 Maurice Koch , Nelusa Pathmanathan , Daniel Weiskopf , Kuno Kurzhals

The core of video understanding tasks, such as recognition, captioning, and tracking, is to automatically detect objects or actions in a video and analyze their temporal evolution. Despite sharing a common goal, different tasks often rely…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Junke Wang , Dongdong Chen , Chong Luo , Bo He , Lu Yuan , Zuxuan Wu , Yu-Gang Jiang

In this paper we introduce a paradigm for completing complex tasks from wearable devices by leveraging crowdsourcing, and demonstrate its validity for academic writing. We explore this paradigm using a collaborative authoring system, called…

Creating controllable 3D human portraits from casual smartphone videos is highly desirable due to their immense value in AR/VR applications. The recent development of 3D Gaussian Splatting (3DGS) has shown improvements in rendering quality…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Alfredo Rivero , ShahRukh Athar , Zhixin Shu , Dimitris Samaras

Multimedia engages an audience through a combination of text, audio, still images, animation, video, or interactivity-based content formats. Along this vein, free platforms have been seen to allow budding enthusiasts to create multimedia…

Physics Education · Physics 2015-02-05 Kah Hean Chua , Ming Yeo Oh , Loo Kang Wee , Ching Tan
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