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Video compression is a critical component of Internet video delivery. Recent work has shown that deep learning techniques can rival or outperform human-designed algorithms, but these methods are significantly less compute and…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Mehrdad Khani , Vibhaalakshmi Sivaraman , Mohammad Alizadeh

This article surveys the various techniques adopted for optimising bandwidth for VoIP services over the period 1999-2014. The improvement of bandwidth can be realized through; silence suppression measure of repressing the silent portions…

Networking and Internet Architecture · Computer Science 2014-09-05 Uchenna Peter Daniel , Nneka Chikazo Agbanusi , Kwetishe Joro Danjuma

There has been a growing trend in compressing and transmitting videos from terminals for machine vision tasks. Nevertheless, most video coding optimization method focus on minimizing distortion according to human perceptual metrics,…

Multimedia · Computer Science 2025-12-18 Fei Zhao , Mengxi Guo , Shijie Zhao , Junlin Li , Li Zhang , Xiaodong Xie

The objective of this paper is to jointly synthesize interactive videos and conversational speech from text and reference images. With the ultimate goal of building human-like conversational systems, recent studies have explored talking or…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 Ji-Hoon Kim , Junseok Ahn , Doyeop Kwak , Joon Son Chung , Shinji Watanabe

Video content has experienced a surge in popularity, asserting its dominance over internet traffic and Internet of Things (IoT) networks. Video compression has long been regarded as the primary means of efficiently managing the substantial…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Parham Zilouchian Moghaddam , Mehdi Modarressi , Mohammad Amin Sadeghi

Today, according to the Cisco Annual Internet Report (2018-2023), the fastest-growing category of Internet traffic is machine-to-machine communication. In particular, machine-to-machine communication of images and videos represents a new…

Image and Video Processing · Electrical Eng. & Systems 2021-10-14 Nam Le , Honglei Zhang , Francesco Cricri , Ramin Ghaznavi-Youvalari , Hamed Rezazadegan Tavakoli , Esa Rahtu

Text-to-video (T2V) generation has gained significant attention due to its wide applications to video generation, editing, enhancement and translation, \etc. However, high-quality (HQ) video synthesis is extremely challenging because of the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Tao Yang , Yangming Shi , Yunwen Huang , Feng Chen , Yin Zheng , Lei Zhang

Tokenized visual representations have shown promise in image compression, yet their extension to video remains underexplored due to the challenges posed by complex temporal dynamics and stringent bit rate constraints. In this paper, we…

Image and Video Processing · Electrical Eng. & Systems 2025-11-20 Lebin Zhou , Cihan Ruan , Nam Ling , Zhenghao Chen , Wei Wang , Wei Jiang

Video conferencing systems suffer from poor user experience when network conditions deteriorate because current video codecs simply cannot operate at extremely low bitrates. Recently, several neural alternatives have been proposed that…

Networking and Internet Architecture · Computer Science 2023-10-23 Vibhaalakshmi Sivaraman , Pantea Karimi , Vedantha Venkatapathy , Mehrdad Khani , Sadjad Fouladi , Mohammad Alizadeh , Frédo Durand , Vivienne Sze

Multimedia compression allows us to watch videos, see pictures and hear sounds within a limited bandwidth, which helps the flourish of the internet. During the past decades, multimedia compression has achieved great success using hand-craft…

Multimedia · Computer Science 2023-08-21 Yuhao Cheng , Siru Zhang , Yiqiang Yan , Rong Chen , Yun Zhang

Diffusion models have demonstrated great success in text-to-video (T2V) generation. However, existing methods may face challenges when handling complex (long) video generation scenarios that involve multiple objects or dynamic changes in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Ye Tian , Ling Yang , Haotian Yang , Yuan Gao , Yufan Deng , Jingmin Chen , Xintao Wang , Zhaochen Yu , Xin Tao , Pengfei Wan , Di Zhang , Bin Cui

This study focuses on a challenging yet promising task, Text-to-Sounding-Video (T2SV) generation, which aims to generate a video with synchronized audio from text conditions, meanwhile ensuring both modalities are aligned with text. Despite…

Computer Vision and Pattern Recognition · Computer Science 2025-10-06 Kaisi Guan , Xihua Wang , Zhengfeng Lai , Xin Cheng , Peng Zhang , XiaoJiang Liu , Ruihua Song , Meng Cao

Whether a video can be compressed at an extreme compression rate as low as 0.01%? To this end, we achieve the compression rate as 0.02% at some cases by introducing Generative Video Compression (GVC), a new framework that redefines the…

Image and Video Processing · Electrical Eng. & Systems 2026-02-03 Xiangyu Chen , Jixiang Luo , Jingyu Xu , Fangqiu Yi , Chi Zhang , Xuelong Li

Video conferencing, which includes both video and audio content, has contributed to dramatic increases in Internet traffic, as the COVID-19 pandemic forced millions of people to work and learn from home. Global Internet traffic of video…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Zhenqiang Ying , Deepti Ghadiyaram , Alan Bovik

Video coding is a video compression technique that compresses the original video sequence to produce a smaller archive file or reduce the transmission bandwidth under constraints on the visual quality loss. Rate control (RC) plays a…

Multimedia · Computer Science 2023-06-21 Xuekai Wei , Mingliang Zhou , Heqiang Wang , Haoyan Yang , Lei Chen , Sam Kwong

Modern video codecs and learning-based approaches struggle for semantic reconstruction at extremely low bit-rates due to reliance on low-level spatiotemporal redundancies. Generative models, especially diffusion models, offer a new paradigm…

Image and Video Processing · Electrical Eng. & Systems 2026-02-06 Maojun Zhang , Haotian Wu , Richeng Jin , Deniz Gunduz , Krystian Mikolajczyk

While Text-To-Video (T2V) models have advanced rapidly, they continue to struggle with generating legible and coherent text within videos. In particular, existing models often fail to render correctly even short phrases or words and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Ziyang Liu , Kevin Valencia , Justin Cui

Real-time transmission of video over wireless networks remains highly challenging, even with advanced deep models, particularly under severe channel conditions such as limited bandwidth and weak connectivity. In this paper, we propose…

Information Theory · Computer Science 2025-10-30 Zhenyu Liu , Yi Ma , Rahim Tafazolli , Zhi Ding

A large fraction of Internet traffic is now driven by requests from mobile devices with relatively small screens and often stringent bandwidth requirements. Due to these factors, it has become the norm for modern graphics-heavy websites to…

Computer Vision and Pattern Recognition · Computer Science 2016-03-03 George Toderici , Sean M. O'Malley , Sung Jin Hwang , Damien Vincent , David Minnen , Shumeet Baluja , Michele Covell , Rahul Sukthankar

Video coding technology has been continuously improved for higher compression ratio with higher resolution. However, the state-of-the-art video coding standards, such as H.265/HEVC and Versatile Video Coding, are still designed with the…

Image and Video Processing · Electrical Eng. & Systems 2022-11-22 Daniel Wood