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Related papers: A Human Visual System-Based 3D Video Quality Metri…

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We present a novel method to improve the accuracy of the 3D reconstruction of clothed human shape from a single image. Recent work has introduced volumetric, implicit and model-based shape learning frameworks for reconstruction of objects…

Computer Vision and Pattern Recognition · Computer Science 2020-09-30 Akin Caliskan , Armin Mustafa , Evren Imre , Adrian Hilton

Recently, many video enhancement methods have been proposed to improve video quality from different aspects such as color, brightness, contrast, and stability. Therefore, how to evaluate the quality of the enhanced video in a way consistent…

Image and Video Processing · Electrical Eng. & Systems 2023-03-17 Yixuan Gao , Yuqin Cao , Tengchuan Kou , Wei Sun , Yunlong Dong , Xiaohong Liu , Xiongkuo Min , Guangtao Zhai

Our aim is to estimate the perspective-effected geometric distortion of a scene from a video feed. In contrast to all previous work we wish to achieve this using from low-level, spatio-temporally local motion features used in commercial…

Computer Vision and Pattern Recognition · Computer Science 2015-04-22 Ognjen Arandjelovic , Duc-Son Pham , Svetha Venkatesh

We present a novel method to learn temporally consistent 3D reconstruction of clothed people from a monocular video. Recent methods for 3D human reconstruction from monocular video using volumetric, implicit or parametric human shape…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Akin Caliskan , Armin Mustafa , Adrian Hilton

A recently proposed model observer mimics the foveated nature of the human visual system by processing the entire image with varying spatial detail, executing eye movements and scrolling through slices. The model can predict how human…

Signal Processing · Electrical Eng. & Systems 2021-02-11 Miguel A. Lago , Craig K. Abbey , Miguel P. Eckstein

Video gaming streaming services are growing rapidly due to new services such as passive video streaming, e.g. Twitch.tv, and cloud gaming, e.g. Nvidia Geforce Now. In contrast to traditional video content, gaming content has special…

Multimedia · Computer Science 2020-05-05 Markus Utke , Saman Zadtootaghaj , Steven Schmidt , Sebastian Möller

A main goal in developing video-compression algorithms is to enhance human-perceived visual quality while maintaining file size. But modern video-analysis efforts such as detection and recognition, which are integral to video surveillance…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Mikhail Dremin , Konstantin Kozhemyakov , Ivan Molodetskikh , Malakhov Kirill , Artur Sagitov , Dmitriy Vatolin

Humans can infer the three-dimensional structure of objects from two-dimensional visual inputs. Modeling this ability has been a longstanding goal for the science and engineering of visual intelligence, yet decades of computational methods…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Tyler Bonnen , Jitendra Malik , Angjoo Kanazawa

3D video coding is one of the most popular research area in multimedia. This paper reviews the recent progress of the coding technologies for multiview video (MVV) and free view-point video (FVV) which is represented by MVV and depth maps.…

Multimedia · Computer Science 2015-12-31 Qifei Wang

In this paper, we address the well-known image quality assessment problem but in contrast from existing approaches that predict image quality independently for every images, we propose to jointly model different images depicting the same…

Computer Vision and Pattern Recognition · Computer Science 2023-04-10 Marcelin Tworski , Stéphane Lathuilière

Most of the existing video self-supervised methods mainly leverage temporal signals of videos, ignoring that the semantics of moving objects and environmental information are all critical for video-related tasks. In this paper, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2021-07-09 Wei Li , Dezhao Luo , Bo Fang , Yu Zhou , Weiping Wang

This paper presents a video encoding method in which noise is encoded using a novel parametric model representing spectral envelope and spatial distribution of energy. The proposed method has been experimentally assessed using video test…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Olgierd Stankiewicz

We consider the task of estimating 3D human pose and shape from videos. While existing frame-based approaches have made significant progress, these methods are independently applied to each image, thereby often leading to inconsistent…

Computer Vision and Pattern Recognition · Computer Science 2021-09-08 Yun-Chun Chen , Marco Piccirilli , Robinson Piramuthu , Ming-Hsuan Yang

Image and video quality metrics, such as SSIM, LPIPS, and VMAF, aim to predict perceived visual quality and are often assumed to reflect principles of human vision. However, relatively few metrics explicitly incorporate models of human…

Image and Video Processing · Electrical Eng. & Systems 2026-03-09 Dounia Hammou , Yancheng Cai , Pavan Madhusudanarao , Christos G. Bampis , Rafał K. Mantiuk

Gaussian Splatting (GS) offers a promising alternative to Neural Radiance Fields (NeRF) for real-time 3D scene rendering. Using a set of 3D Gaussians to represent complex geometry and appearance, GS achieves faster rendering times and…

Multimedia · Computer Science 2025-06-18 Pedro Martin , António Rodrigues , João Ascenso , Maria Paula Queluz

Evaluating text-to-image generation models requires alignment with human perception, yet existing human-centric metrics are constrained by limited data coverage, suboptimal feature extraction, and inefficient loss functions. To address…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Yuhang Ma , Yunhao Shui , Xiaoshi Wu , Keqiang Sun , Hongsheng Li

In this paper we introduce a new dataset for 360-degree video summarization: the transformation of 360-degree video content to concise 2D-video summaries that can be consumed via traditional devices, such as TV sets and smartphones. The…

Computer Vision and Pattern Recognition · Computer Science 2024-06-06 Ioannis Kontostathis , Evlampios Apostolidis , Vasileios Mezaris

Digital images contain a lot of redundancies, therefore, compressions are applied to reduce the image size without the loss of reasonable image quality. The same become more prominent in the case of videos that contains image sequences and…

Image and Video Processing · Electrical Eng. & Systems 2021-12-30 Nisar Ahmed , Hafiz Muhammad Shahzad Asif , Hassan Khalid

To properly evaluate the performance of 360VR-specific encoding and transmission schemes, and particularly of the solutions based on viewport adaptation, it is necessary to consider not only the bandwidth saved, but also the quality of the…

The use of 3D and stereo imaging is rapidly increasing. Compression, transmission, and processing could degrade the quality of stereo images. Quality assessment of such images is different than their 2D counterparts. Metrics that represent…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Maryam Karimi , Najmeh Soltanian , Shadrokh Samavi , Nader Karimi , S. M. Reza Soroushmehr , Kayvan Najarian