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In recent years, there has been an increasing interest in building video summarization tools, where the goal is to automatically create a short summary of an input video that properly represents the original content. We consider shot-based…

Computer Vision and Pattern Recognition · Computer Science 2019-12-10 Yair Shemer , Daniel Rotman , Nahum Shimkin

Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource's content, it is essential to discover the most relevant and suitable video in order to support the learning process most…

Multimedia · Computer Science 2019-12-24 Hang Zhou , Christian Otto , Ralph Ewerth

Video surgery timelines are an important part of tool-assisted surgeries, as they allow surgeons to quickly focus on key parts of the procedure. Current methods involve the surgeon filling out a post-operation (OP) report, which is often…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Ethan Peterson , Huixin Zhan

Video summarization helps turn long videos into clear, concise representations that are easier to review, document, and analyze, especially in high-stakes domains like surgical training. Prior work has progressed from using basic visual…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Shreya Rajpal , Michal Golovanevsky , Carsten Eickhoff

Computer-assisted surgical (CAS) systems enhance surgical execution and outcomes by providing advanced support to surgeons. These systems often rely on deep learning models trained on complex, challenging-to-annotate data. While synthetic…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Sabina Martyniak , Joanna Kaleta , Diego Dall'Alba , Michał Naskręt , Szymon Płotka , Przemysław Korzeniowski

Long-form video content constitutes a significant portion of internet traffic, making automated video summarization an essential research problem. However, existing video summarization datasets are notably limited in their size,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Dawit Mureja Argaw , Seunghyun Yoon , Fabian Caba Heilbron , Hanieh Deilamsalehy , Trung Bui , Zhaowen Wang , Franck Dernoncourt , Joon Son Chung

Video summarization aims at generating a compact yet representative visual summary that conveys the essence of the original video. The advantage of unsupervised approaches is that they do not require human annotations to learn the…

Computer Vision and Pattern Recognition · Computer Science 2021-05-27 Hussain Kanafani , Junaid Ahmed Ghauri , Sherzod Hakimov , Ralph Ewerth

Vision-Language Models (VLMs) are able to process increasingly longer videos. Yet, important visual information is easily lost throughout the entire context and missed by VLMs. Also, it is important to design tools that enable…

Computation and Language · Computer Science 2026-01-09 Galann Pennec , Zhengyuan Liu , Nicholas Asher , Philippe Muller , Nancy F. Chen

Video summarization techniques have been proven to improve the overall user experience when it comes to accessing and comprehending video content. If the user's preference is known, video summarization can identify significant information…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Brian Chen , Xiangyuan Zhao , Yingnan Zhu

This paper proposes an automatic subtitle generation and semantic video summarization technique. The importance of automatic video summarization is vast in the present era of big data. Video summarization helps in efficient storage and also…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 VB Aswin , Mohammed Javed , Parag Parihar , K Aswanth , CR Druval , Anpam Dagar , CV Aravinda

Many applications benefit from sampling algorithms where a small number of well chosen samples are used to generalize different properties of a large dataset. In this paper, we use diverse sampling for streaming video summarization. Several…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Rushil Anirudh , Ahnaf Masroor , Pavan Turaga

In this paper, we present our experimental study on generating plausible textual explanations for the outcomes of video summarization. For the needs of this study, we extend an existing framework for multigranular explanation of video…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Thomas Eleftheriadis , Evlampios Apostolidis , Vasileios Mezaris

When video collections become huge, how to explore both within and across videos efficiently is challenging. Video summarization is one of the ways to tackle this issue. Traditional summarization approaches limit the effectiveness of video…

Information Retrieval · Computer Science 2020-04-09 Jia-Hong Huang , Marcel Worring

Video summarization has unprecedented importance to help us digest, browse, and search today's ever-growing video collections. We propose a novel subset selection technique that leverages supervision in the form of human-created summaries…

Computer Vision and Pattern Recognition · Computer Science 2016-05-02 Ke Zhang , Wei-Lun Chao , Fei Sha , Kristen Grauman

Video summarization aims to create short, accurate, and cohesive summaries of longer videos. Despite the existence of various video summarization datasets, a notable limitation is their limited amount of source videos, which hampers the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Hang Hua , Yolo Yunlong Tang , Chenliang Xu , Jiebo Luo

Understanding multimodal video ads is crucial for improving query-ad matching and relevance ranking on short video platforms, enhancing advertising effectiveness and user experience. However, the effective utilization of multimodal…

Information Retrieval · Computer Science 2025-10-13 Weitao Jia , Shuo Yin , Zhoufutu Wen , Han Wang , Zehui Dai , Kun Zhang , Zhenyu Li , Tao Zeng , Xiaohui Lv

Ultrasound (US) is widely used for its advantages of real-time imaging, radiation-free and portability. In clinical practice, analysis and diagnosis often rely on US sequences rather than a single image to obtain dynamic anatomical…

Computer Vision and Pattern Recognition · Computer Science 2022-07-04 Jiamin Liang , Xin Yang , Yuhao Huang , Kai Liu , Xinrui Zhou , Xindi Hu , Zehui Lin , Huanjia Luo , Yuanji Zhang , Yi Xiong , Dong Ni

Video smmarization is a crucial method to reduce the time of videos which reduces the spent time to watch/review a long video. This apporach has became more important as the amount of publisehed video is increasing everyday. A single or…

Computer Vision and Pattern Recognition · Computer Science 2024-01-22 Vahid Ahmadi Kalkhorani , Qingquan Zhang , Guanqun Song , Ting Zhu

Lecture videos are an increasingly important learning resource for higher education. However, the challenge of quickly finding the content of interest in a lecture video is an important limitation of this format. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2020-06-05 Mohammad Rajiur Rahman , Jaspal Subhlok , Shishir Shah

The range of video annotation software currently available is set within commercially specialized professions, distributed via outdated sources or through online video hosting services. As video content becomes an increasingly significant…

Multimedia · Computer Science 2016-04-21 Matthew Martin , James Charlton , Andy M. Connor