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Modern video codecs including the newly developed AOM/AV1 utilize hybrid coding techniques to remove spatial and temporal redundancy. However, efficient exploitation of statistical dependencies measured by a mean squared error (MSE) does…

Image and Video Processing · Electrical Eng. & Systems 2018-04-26 Di Chen , Chichen Fu , Fengqing Zhu

Large vision-language models (LVLMs) often fail to align with human preferences, leading to issues like generating misleading content without proper visual context (also known as hallucination). A promising solution to this problem is using…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Chenglong Wang , Yang Gan , Yifu Huo , Yongyu Mu , Murun Yang , Qiaozhi He , Tong Xiao , Chunliang Zhang , Tongran Liu , Quan Du , Di Yang , Jingbo Zhu

This paper presents a deep learning-based video compression framework (ViSTRA3). The proposed framework intelligently adapts video format parameters of the input video before encoding, subsequently employing a CNN at the decoder to restore…

Image and Video Processing · Electrical Eng. & Systems 2021-12-01 Chen Feng , Duolikun Danier , Charlie Tan , Fan Zhang , David Bull

Real-time video streaming relies on rate control mechanisms to adapt video bitrate to network capacity while maintaining high utilization and low delay. However, the current video rate controllers, such as Google Congestion Control (GCC),…

Networking and Internet Architecture · Computer Science 2024-02-27 Pantea Karimi , Sadjad Fouladi , Vibhaalakshmi Sivaraman , Mohammad Alizadeh

The high-order relations between the content in social media sharing platforms are frequently modeled by a hypergraph. Either hypergraph Laplacian matrix or the adjacency matrix is a big matrix. Randomized algorithms are used for low-rank…

Social and Information Networks · Computer Science 2019-08-23 Georgios Karantaidis , Ioannis Sarridis , Constantine Kotropoulos

Recent text-to-video (T2V) models have demonstrated strong capabilities in producing high-quality, dynamic videos. To improve the visual controllability, recent works have considered fine-tuning pre-trained T2V models to support…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 June Suk Choi , Kyungmin Lee , Sihyun Yu , Yisol Choi , Jinwoo Shin , Kimin Lee

We present an efficient finetuning methodology for neural-network filters which are applied as a postprocessing artifact-removal step in video coding pipelines. The fine-tuning is performed at encoder side to adapt the neural network to the…

Image and Video Processing · Electrical Eng. & Systems 2020-08-14 Yat-Hong Lam , Alireza Zare , Francesco Cricri , Jani Lainema , Miska Hannuksela

Efficient 3D LiDAR point cloud compression (LPCC) and streaming are critical for edge server-assisted robotic systems, enabling real-time communication with compact data representations. A widely adopted approach represents LiDAR point…

Image and Video Processing · Electrical Eng. & Systems 2026-03-17 Shengqian Wang , Chang Tu , He Chen

High-Dynamic-Range Wide-Color-Gamut (HDR-WCG) technology is becoming increasingly widespread, driving a growing need for converting Standard Dynamic Range (SDR) content to HDR. Existing methods primarily rely on fixed tone mapping…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Li Xu , Siqi Wang , Kepeng Xu , Gang He , Lin Zhang , Weiran Wang , Yu-Wing Tai

Due to the fluctuation of throughput under various network conditions, how to choose a proper bitrate adaptively for real-time video streaming has become an upcoming and interesting issue. Recent work focuses on providing high video…

Multimedia · Computer Science 2018-10-30 Tianchi Huang , Rui-Xiao Zhang , Chao Zhou , Lifeng Sun

This paper presents the constrained directional enhancement filter designed for the AV1 royalty-free video codec. The in-loop filter is based on a non-linear low-pass filter and is designed for vectorization efficiency. It takes into…

Multimedia · Computer Science 2017-10-31 Steinar Midtskogen , Jean-Marc Valin

In recent years, large visual language models (LVLMs) have shown impressive performance and promising generalization capability in multi-modal tasks, thus replacing humans as receivers of visual information in various application scenarios.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Binzhe Li , Shurun Wang , Shiqi Wang , Yan Ye

Deep learning based image compression methods have achieved superior performance compared with transform based conventional codec. With end-to-end Rate-Distortion Optimization (RDO) in the codec, compression model is optimized with Lagrange…

Image and Video Processing · Electrical Eng. & Systems 2020-04-28 Jing Zhou , Akira Nakagawa , Keizo Kato , Sihan Wen , Kimihiko Kazui , Zhiming Tan

The ever-growing multimedia traffic has underscored the importance of effective multimedia codecs. Among them, the up-to-date lossy video coding standard, Versatile Video Coding (VVC), has been attracting attentions of video coding…

Image and Video Processing · Electrical Eng. & Systems 2022-05-10 Tiesong Zhao , Yuhang Huang , Weize Feng , Yiwen Xu , Sam Kwong

Providing a high Quality of Experience (QoE) for video streaming in 5G and beyond 5G (B5G) networks is challenging due to the dynamic nature of the underlying network conditions. Several Adaptive Bit Rate (ABR) algorithms have been…

Multimedia · Computer Science 2023-05-16 Mandan Naresh , Paresh Saxena , Manik Gupta

High dynamic range (HDR) videos provide a more visually realistic experience than the standard low dynamic range (LDR) videos. Despite having significant progress in HDR imaging, it is still a challenging task to capture high-quality HDR…

Image and Video Processing · Electrical Eng. & Systems 2021-11-04 Mrinal Anand , Nidhin Harilal , Chandan Kumar , Shanmuganathan Raman

Autoregressive video diffusion is emerging as a promising paradigm for streaming video synthesis, with step distillation serving as the primary means of accelerating inference. Whether speculative decoding, the dominant acceleration…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Yuezhou Hu , Jintao Zhang

In this paper, we provide an in-depth assessment on the Bj{\o}ntegaard Delta. We construct a large data set of video compression performance comparisons using a diverse set of metrics including PSNR, VMAF, bitrate, and processing energies.…

In this work, we propose a novel rate control algorithm for Versatile Video Coding (VVC) standard based on its distinct rate-distortion characteristics. By modelling the transform coefficients with the composite Cauchy distribution, higher…

Multimedia · Computer Science 2020-08-28 Yunhao Mao , Meng Wang , Shiqi Wang , Sam Kwong

As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynamic range (LDR) images, one of the critical steps is the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-23 Haesoo Chung , Nam Ik Cho