Results 51 to 60 of about 4,406,020 (326)

DVC: An End-To-End Deep Video Compression Framework [PDF]

open access: yesComputer Vision and Pattern Recognition, 2018
Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information.
Guo Lu   +5 more
semanticscholar   +1 more source

Semantic-Aware Video Compression for Automotive Cameras

open access: yesIEEE Transactions on Intelligent Vehicles, 2023
Assisted and automated driving functions in vehicles exploit sensor data to build situational awareness, however, the data amount required by these functions might exceed the bandwidth of current wired vehicle communication networks. Consequently, sensor
Yiting Wang, P. Chan, Valentina Donzella
semanticscholar   +1 more source

Advancing Learned Video Compression With In-Loop Frame Prediction [PDF]

open access: yesIEEE transactions on circuits and systems for video technology (Print), 2022
Recent years have witnessed an increasing interest in end-to-end learned video compression. Most previous works explore temporal redundancy by detecting and compressing a motion map to warp the reference frame towards the target frame.
Ren Yang, R. Timofte, L. van Gool
semanticscholar   +1 more source

Low power techniques for video compression [PDF]

open access: yes, 2002
This paper gives an overview of low-power techniques proposed in the literature for mobile multimedia and Internet applications. Exploitable aspects are discussed in the behavior of different video compression tools.
Murphy, Noel   +5 more
core   +2 more sources

End-to-End Image Patch Quality Assessment for Image/Video With Compression Artifacts

open access: yesIEEE Access, 2020
In this paper, we present an experimental image quality assessment (IQA) method for image/video patches with compression artifacts. Using the High Efficiency Video Coding (HEVC) standard, we create a new database of image patches with compression ...
Tung Thanh Pham   +4 more
doaj   +1 more source

Perceptual Learned Video Compression with Recurrent Conditional GAN [PDF]

open access: yesInternational Joint Conference on Artificial Intelligence, 2021
This paper proposes a Perceptual Learned Video Compression (PLVC) approach with recurrent conditional GAN. We employ the recurrent auto-encoder-based compression network as the generator, and most importantly, we propose a recurrent conditional ...
Ren Yang, R. Timofte, L. van Gool
semanticscholar   +1 more source

Object-based video representations: shape compression and object segmentation [PDF]

open access: yes, 1998
Object-based video representations are considered to be useful for easing the process of multimedia content production and enhancing user interactivity in multimedia productions.
Brady, Noel
core   +2 more sources

Analisis Perbandingan Teknik Video Codec H.264/AVC, H.265/HEVC, VP9 dan AV1

open access: yesEdumatic, 2021
Video applications consume more energy on the Internet and can be accessed by electronic devices, due to an increase in the consumption of high-resolution and high-quality video content, presenting serious issues to delivery infrastructure that needs ...
Ayu Shafira Tubagus   +3 more
doaj   +1 more source

Video compression dataset and benchmark of learning-based video-quality metrics [PDF]

open access: yesNeural Information Processing Systems, 2022
Video-quality measurement is a critical task in video processing. Nowadays, many implementations of new encoding standards - such as AV1, VVC, and LCEVC - use deep-learning-based decoding algorithms with perceptual metrics that serve as optimization ...
Anastasia Antsiferova   +5 more
semanticscholar   +1 more source

Hardware acceleration architectures for MPEG-Based mobile video platforms: a brief overview [PDF]

open access: yes, 2003
This paper presents a brief overview of past and current hardware acceleration (HwA) approaches that have been proposed for the most computationally intensive compression tools of the MPEG-4 standard.
Murphy, Noel   +12 more
core   +2 more sources

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