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While egocentric cameras like GoPro are gaining popularity, the videos they capture are long, boring, and difficult to watch from start to end. Fast forwarding (i.e. frame sampling) is a natural choice for faster video browsing. However,…

Computer Vision and Pattern Recognition · Computer Science 2017-01-04 Yair Poleg , Tavi Halperin , Chetan Arora , Shmuel Peleg

Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home videos. These videos, also known as egocentric videos, are…

Computer Vision and Pattern Recognition · Computer Science 2017-08-17 Washington Luis Souza Ramos , Michel Melo Silva , Mario Fernando Montenegro Campos , Erickson Rangel Nascimento

Thanks to the advances in the technology of low-cost digital cameras and the popularity of the self-recording culture, the amount of visual data on the Internet is going to the opposite side of the available time and patience of the users.…

Capturing and processing video is increasingly common as cameras become cheaper to deploy. At the same time, rich video understanding methods have progressed greatly in the last decade. As a result, many organizations now have massive…

Databases · Computer Science 2022-08-16 Oscar Moll , Favyen Bastani , Sam Madden , Mike Stonebraker , Vijay Gadepally , Tim Kraska

We present a video summarization approach for egocentric or "wearable" camera data. Given hours of video, the proposed method produces a compact storyboard summary of the camera wearer's day. In contrast to traditional keyframe selection…

Computer Vision and Pattern Recognition · Computer Science 2015-05-20 Yong Jae Lee , Kristen Grauman

The emergence of low-cost personal mobiles devices and wearable cameras and the increasing storage capacity of video-sharing websites have pushed forward a growing interest towards first-person videos. Since most of the recorded videos…

Computer Vision and Pattern Recognition · Computer Science 2017-08-17 Michel Melo Silva , Washington Luis Souza Ramos , Joao Pedro Klock Ferreira , Mario Fernando Montenegro Campos , Erickson Rangel Nascimento

Researchers have presented systems for efficiently analysing video data at scale using sampling algorithms. While these systems effectively leverage the temporal redundancy present in videos, they suffer from three limitations. First, they…

Databases · Computer Science 2021-04-06 Jaeho Bang , Pramod Chunduri , Joy Arulraj

Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, and forecast what will follow in the near future, everything all at once.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-06 Simone Alberto Peirone , Francesca Pistilli , Antonio Alliegro , Giuseppe Averta

Adaptive sampling that exploits the spatiotemporal redundancy in videos is critical for always-on action recognition on wearable devices with limited computing and battery resources. The commonly used fixed sampling strategy is not…

Computer Vision and Pattern Recognition · Computer Science 2022-07-18 Khoi-Nguyen C. Mac , Minh N. Do , Minh P. Vo

Technological advances in sensors have paved the way for digital cameras to become increasingly ubiquitous, which, in turn, led to the popularity of the self-recording culture. As a result, the amount of visual data on the Internet is…

Computer Vision and Pattern Recognition · Computer Science 2020-09-24 Michel Melo Silva , Washington Luis Souza Ramos , Mario Fernando Montenegro Campos , Erickson Rangel Nascimento

Face performance capture and reenactment techniques use multiple cameras and sensors, positioned at a distance from the face or mounted on heavy wearable devices. This limits their applications in mobile and outdoor environments. We present…

Computer Vision and Pattern Recognition · Computer Science 2019-05-28 Mohamed Elgharib , Mallikarjun BR , Ayush Tewari , Hyeongwoo Kim , Wentao Liu , Hans-Peter Seidel , Christian Theobalt

Finding the camera pose is an important step in many egocentric video applications. It has been widely reported that, state of the art SLAM algorithms fail on egocentric videos. In this paper, we propose a robust method for camera pose…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Suvam Patra , Himanshu Aggarwal , Himani Arora , Chetan Arora , Subhashis Banerjee

While exocentric video synthesis has achieved great progress, egocentric video generation remains largely underexplored, which requires modeling first-person view content along with camera motion patterns induced by the wearer's body…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Jingqiao Xiu , Fangzhou Hong , Yicong Li , Mengze Li , Wentao Wang , Sirui Han , Liang Pan , Ziwei Liu

Building a visual summary from an egocentric photostream captured by a lifelogging wearable camera is of high interest for different applications (e.g. memory reinforcement). In this paper, we propose a new summarization method based on…

Computer Vision and Pattern Recognition · Computer Science 2015-05-07 Marc Bolaños , Ricard Mestre , Estefanía Talavera , Xavier Giró-i-Nieto , Petia Radeva

Video understanding typically requires fine-tuning the large backbone when adapting to new domains. In this paper, we leverage the egocentric video foundation models (Ego-VFMs) based on video-language pre-training and propose a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Tz-Ying Wu , Kyle Min , Subarna Tripathi , Nuno Vasconcelos

Egocentric videos present unique challenges for 3D reconstruction due to rapid camera motion and frequent dynamic interactions. State-of-the-art static reconstruction systems, such as MapAnything, often degrade in these settings, suffering…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Qifei Cui , Patrick Chen

We introduce a method for egocentric videoconferencing that enables hands-free video calls, for instance by people wearing smart glasses or other mixed-reality devices. Videoconferencing portrays valuable non-verbal communication and face…

With vast amounts of video content being uploaded to the Internet every minute, video summarization becomes critical for efficient browsing, searching, and indexing of visual content. Nonetheless, the spread of social and egocentric cameras…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Mohamed Elfeki , Liqiang Wang , Ali Borji

Estimating camera wearer's body pose from an egocentric view (egopose) is a vital task in augmented and virtual reality. Existing approaches either use a narrow field of view front facing camera that barely captures the wearer, or an…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Hao Jiang , Vamsi Krishna Ithapu

Egocentric cameras are becoming increasingly popular and provide us with large amounts of videos, captured from the first person perspective. At the same time, surveillance cameras and drones offer an abundance of visual information, often…

Computer Vision and Pattern Recognition · Computer Science 2016-08-16 Shervin Ardeshir , Ali Borji
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