Towards High Efficiency Video Coding: Subjective Evaluation of Potential Coding Technologies

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Video DeepFakes are fake media created with Deep Learning (DL) that manipulate a person’s expression or identity. Most current DeepFake detection methods analyze each frame independently, ignoring inconsistencies and unnatural movements between frames. Som ...

The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as JPEG and MPEG to launch activities aiming at developing compression standards for point clouds. Lossy compression usually introduces visual arti ...

The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Te ...

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Recent advances in image compression have made it both possible and desirable for image quality to approach the visually lossless range. However, the most commonly used subjective visual quality assessment protocols, e.g. those reported in ITU-T Rec. BT.50 ...

The use of point clouds as an imaging modality has been rapidly growing, motivating research on compression methods to enable efficient transmission and storage for many applications. While compression standards relying on conven- tional techniques such as ...

With the emergence of social networks and improvements in the internet speed, the video data has become an ever-increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end wh ...

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The rapid development of digital imaging and video has placed visual contents in the heart of our lives. Digital multimedia span a vast number of areas from business to leisure, including but not limited to education, medicine, accessibility, training, adv ...

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Guaranteeing interoperability between devices and applications is the core role of standards organizations. Since its first JPEG standard in 1992, the Joint Photographic Experts Group (JPEG) has published several image coding standards that have been succe ...

Towards High Efficiency Video Coding: Subjective Evaluation of Potential Coding Technologies

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Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

SoDaCam: Software-defined Cameras via Single-Photon Imaging

On the assessment of high-quality images: advances on the JPEG AIC-3 activity

Evaluating the effect of sparse convolutions on point cloud compression

Feature-based no-reference video quality assessment using Extra Trees

AI-based telepresence for broadcast applications

Unsupervised Visual Entity Abstraction towards 2D and 3D Compositional Models

Learning-based Image Coding: Early Solutions Reviewing and Subjective Quality Evaluation

Adaptive extreme video completion

Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding

Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning

Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs

Subjective and Viewport-based Objective Quality Assessment of 360-degree Videos

Image Compression and Quality Assessment using Convolutional Neural Networks

MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding

Usage of Hints on Coding-Based Summative Assessments

JPEG Pleno: Providing representation interoperability for holographic applications and devices