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When 60 de-interlaced fields per second digital uncompressed video is streamed to a computer, some video fields are lost and not able to be stored on a computer s hard drive successfully. Additionally, this problem amplifies once multiple…

Multimedia · Computer Science 2014-04-10 Dr. Timur Mirzoev

When there is a possibility to wirelessly stream video over a network, a sophisticated computer analysis of the transmitted video is possible. Such process is used in biomechanics when it is important to analyze athletes performance via…

Computational Engineering, Finance, and Science · Computer Science 2014-04-10 Dr. Timur Mirzoev

Virtual reality systems today cannot yet stream immersive, retina-quality virtual reality video over a network. One of the greatest challenges to this goal is the sheer data rates required to transmit retina-quality video frames at high…

Networking and Internet Architecture · Computer Science 2021-09-21 Luke Hsiao , Brooke Krajancich , Philip Levis , Gordon Wetzstein , Keith Winstein

We study video streaming over a slow fading wireless channel. In a streaming application video packets are required to be decoded and displayed in the order they are transmitted as the transmission goes on. This results in per-packet delay…

Information Theory · Computer Science 2015-10-12 Giuseppe Cocco , Deniz Gündüz , Christian Ibars

Video compression is a central feature of the modern internet powering technologies from social media to video conferencing. While video compression continues to mature, for many compression settings, quality loss is still noticeable. These…

Image and Video Processing · Electrical Eng. & Systems 2023-10-31 Max Ehrlich , Jon Barker , Namitha Padmanabhan , Larry Davis , Andrew Tao , Bryan Catanzaro , Abhinav Shrivastava

In a decade, the adaptive quality control of video streaming and the super-resolution (SR) technique have been deeply explored. As edge devices improved to have exceptional processing capability than ever before, streaming users can enhance…

Multimedia · Computer Science 2021-10-13 Minseok Choi , Won Joon Yun , Joongheon Kim

Light field cameras have many advantages over traditional cameras, as they allow the user to change various camera settings after capture. However, capturing light fields requires a huge bandwidth to record the data: a modern light field…

Computer Vision and Pattern Recognition · Computer Science 2017-05-09 Ting-Chun Wang , Jun-Yan Zhu , Nima Khademi Kalantari , Alexei A. Efros , Ravi Ramamoorthi

Experience and reasoning occur across multiple temporal scales: milliseconds, seconds, hours or days. The vast majority of computer vision research, however, still focuses on individual images or short videos lasting only a few seconds.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Olivia Wiles , Joao Carreira , Iain Barr , Andrew Zisserman , Mateusz Malinowski

We introduce a framework for online learning from a single continuous video stream -- the way people and animals learn, without mini-batches, data augmentation or shuffling. This poses great challenges given the high correlation between…

Computer Vision and Pattern Recognition · Computer Science 2024-04-01 João Carreira , Michael King , Viorica Pătrăucean , Dilara Gokay , Cătălin Ionescu , Yi Yang , Daniel Zoran , Joseph Heyward , Carl Doersch , Yusuf Aytar , Dima Damen , Andrew Zisserman

Ensuring high-quality video content for wireless users has become increasingly vital. Nevertheless, maintaining a consistent level of video quality faces challenges due to the fluctuating encoded bitrate, primarily caused by dynamic video…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Matin Mortaheb , Mohammad A. Amir Khojastepour , Srimat T. Chakradhar , Sennur Ulukus

We present an explicit-grid based method for efficiently reconstructing streaming radiance fields for novel view synthesis of real world dynamic scenes. Instead of training a single model that combines all the frames, we formulate the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-27 Lingzhi Li , Zhen Shen , Zhongshu Wang , Li Shen , Ping Tan

Despite recent advances in video segmentation, many opportunities remain to improve it using a variety of low and mid-level visual cues. We propose improvements to the leading streaming graph-based hierarchical video segmentation…

Computer Vision and Pattern Recognition · Computer Science 2014-02-17 Subarna Tripathi , Youngbae Hwang , Serge Belongie , Truong Nguyen

Human-centric video frame interpolation has great potential for improving people's entertainment experiences and finding commercial applications in the sports analysis industry, e.g., synthesizing slow-motion videos. Although there are…

Computer Vision and Pattern Recognition · Computer Science 2023-12-13 Jiaben Chen , Huaizu Jiang

Video interpolation is an important problem in computer vision, which helps overcome the temporal limitation of camera sensors. Existing video interpolation methods usually assume uniform motion between consecutive frames and use linear…

Computer Vision and Pattern Recognition · Computer Science 2019-11-05 Xiangyu Xu , Li Siyao , Wenxiu Sun , Qian Yin , Ming-Hsuan Yang

Tracking people in a video sequence is a challenging task that has been approached from many perspectives. This task becomes even more complicated when the person to track is a player in a broadcasted sport event, the reasons being the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-11 Roberto L. Castro , Diego Andrade , Basilio Fraguela

We show that useful video representations can be learned from synthetic videos and natural images, without incorporating natural videos in the training. We propose a progression of video datasets synthesized by simple generative processes,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-20 Xueyang Yu , Xinlei Chen , Yossi Gandelsman

Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially in an age where an immense volume of video content is constantly being generated. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Yuxing Han , Yunan Ding , Jiangtao Wen , Chen Ye Gan

Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially when an immense volume of video content is being constantly generated. Traditional methods require…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Yuxing Han , Yunan Ding , Chen Ye Gan , Jiangtao Wen

We present a networked, high performance graphics system that combines dynamic, high quality, ray traced global illumination computed on a server with direct illumination and primary visibility computed on a client. This approach provides…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-11 Michael Stengel , Zander Majercik , Benjamin Boudaoud , Morgan McGuire

We offer a platform for database consultations and/or biomedical images exchanges, adapted to the low rate wireless transmission, and intended for general practitioners or specialists. The goal can be preventive, diagnostic and therapeutic.…

Networking and Internet Architecture · Computer Science 2008-12-18 Jackson Francomme , Gilles Mercier , Sabri Chebira
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