Results 31 to 40 of about 839 (127)

Systèmes d'acquisition multivues [PDF]

open access: yes, 2013
National audienceMultiview acquisition, the focus of this chapter, relates to the capture of synchronized video data representing different viewpoints of a single scene. In contrast to video surveillance systems, which deploy multiple cameras to visually
Devernay, Frédéric   +2 more
core   +2 more sources

MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding

open access: yes, 2023
Recently, it was demonstrated that a newly focused plenoptic 2.0 camera can capture much higher spatial resolution owing to its effective light field sampling, as compared to a traditional unfocused plenoptic 1.0 camera.
Huu, Thuc Nguyen   +3 more
core  

Semantic Face Compression for Metaverse: A Compact 3D Descriptor Based Approach

open access: yes, 2023
In this letter, we envision a new metaverse communication paradigm for virtual avatar faces, and develop the semantic face compression with compact 3D facial descriptors.
Chen, Bolin   +4 more
core  

Hippocampal Discoveries: Spatial View Cells, Connectivity, and Computations for Memory and Navigation, in Primates Including Humans

open access: yesHippocampus, Volume 35, Issue 1, January 2025.
ABSTRACT Two key series of discoveries about the hippocampus are described. One is the discovery of hippocampal spatial view cells in primates. This discovery opens the way to a much better understanding of human episodic memory, for episodic memory prototypically involves a memory of where people or objects or rewards have been seen in locations “out ...
Edmund T. Rolls
wiley   +1 more source

Geometry-Corrected Geodesic Motion Modeling with Per-Frame Camera Motion for 360-Degree Video Compression

open access: yes, 2023
The large amounts of data associated with 360-degree video require highly effective compression techniques for efficient storage and distribution.
Kaup, André, Regensky, Andy
core  

Conteo de vehículos a partir de vídeos usando machine learning [PDF]

open access: yes, 2020
This work presents a framework for vehicle counting from videos, using deep neural networks as detectors. The framework has 4 stages: preprocessing, detection and classification, tracking, and post-processing. For the detection stage, several deep object
Navarro Ávila, Juan Sebastián
core  

Image Compression Model Based on Dynamic Convolution and Vision Mamba

open access: yesIET Image Processing, Volume 19, Issue 1, January/December 2025.
An end‐to‐end image compression model integrates Vision Mamba and omni‐dimensional dynamic convolution. Enhancements to the variational autoencoder‐based framework improved its global information modelling. Two models, lightweight and heavyweight, are designed to compete with the methods of recent years.
Lingchen Qiu   +4 more
wiley   +1 more source

Research on Cloud Compression Codec Technology for Remote Production

open access: yesInternational Journal of Digital Multimedia Broadcasting, Volume 2025, Issue 1, 2025.
The rapid growth of the intelligent media industry has led to an increasing demand for high‐quality video in fields such as video production, digital content exchange, and the film industry, especially for 4K, 8K, and ultra‐high‐definition (UHD) content.
Yi Ke   +4 more
wiley   +1 more source

Learning adaptive motion search for fast versatile video coding in visual surveillance systems

open access: yesIET Image Processing, Volume 18, Issue 4, Page 981-995, 27 March 2024.
In this paper, to meet practical requirements of coding surveillance videos, the authors propose a low‐complexity video coding solution in which the most recent Versatile Video Coding standard is improved with a novel learning adaptive motion search algorithm.
Huong Bui Thanh   +3 more
wiley   +1 more source

LDMIC: Learning-based Distributed Multi-view Image Coding

open access: yes, 2023
Multi-view image compression plays a critical role in 3D-related applications. Existing methods adopt a predictive coding architecture, which requires joint encoding to compress the corresponding disparity as well as residual information.
Shao, Jiawei, Zhang, Jun, Zhang, Xinjie
core  

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