17 papers · ranked by Valyu relevance
Linwei Zhu, Yun Zhang, Na Li, Gangyi Jiang + 1 more
In intra coding, Rate Distortion Optimization (RDO) is performed to achieve the optimal intra mode from a pre-defined candidate list. The optimal intra mode is also required to be encoded and transmitted to the decoder side besides the residual signal, where lots of coding bits are consumed. To further improve the…
Dohyeon Park, Gihwa Moon, Byung Tae Oh, Jae-Gon Kim + 1 more
After the development of the Versatile Video Coding (VVC) standard, research on neural network-based video coding technologies continues as a potential approach for future video coding standards. Particularly, neural network-based intra prediction is receiving attention as a solution to mitigate the limitations of…
Qiuwen Zhang, Yongbo Zhao, Weiwei Zhang, Lijun Sun + 2 more
'Zhaoqing Pan'] High efficiency video coding screen content coding (HEVC-SCC) extension is the latest HEVC development to improve the compression performance of screen content (SC) video. Similar to HEVC, the intra mode selection in HEVC-SCC is performed all the coding unit (CU) partitions to find the least rate…
Yuanjie Li, Kai Niu, Chao Dong, Shiqiang Suo + 3 more
'Fang Yang'] Unsourced multiple access (UMA) is the technology for massive, low-power, and uncoordinated Internet-of-Things in the 6G wireless system, improving connectivity and energy efficiency on guaranteed reliability. The multi-user coding scheme design is a critical problem for UMA. This paper proposes a UMA…
Rui Song, Dong Liu, Houqiang Li, Feng Wu
—In both H.264 and HEVC, context-adaptive binary arithmetic coding (CABAC) is adopted as the entropy coding method. CABAC relies on manually designed binarization processes as well as handcrafted context models, which may restrict the compression efficiency. In this paper, we propose an arithmetic coding strategy by…
Dan Luo, Shuhua Xiong, Chao Ren, Raymond Edward Sheriff + 3 more
'Byung-Gyu Kim' 'Dongsan Jun'] The new generation video coding standard Versatile Video Coding (VVC) has adopted many novel technologies to improve compression performance, and consequently, remarkable results have been achieved. In practical applications, less data, in terms of bitrate, would reduce the burden of the…
Mingyuan Cao, Lihua Tian, Chen Li
Recently, many video steganography algorithms based on the intra-prediction mode (IPM) have been adaptive steganography algorithms. These algorithms usually focus on the research about mapping rules and distortion functions while ignoring the fact that adaptive steganography may not be suitable for video steganography…
Thierry Dumas, Franck Galpin, Philippe Bordes
— This paper presents an iterative training of neural networks for intra prediction in a block-based image and video codec. First, the neural networks are trained on blocks arising from the codec partitioning of images, each paired with its context. Then, iteratively, blocks are collected from the partitioning of…
Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang + 1 more
'Olivier Déforges'] Abstract—This paper introduces a new method for inter-frame coding based on two complementary autoencoders: MOFNet and CodecNet. MOFNet aims at computing and conveying the Optical Flow and a pixel-wise coding Mode selection. The optical flow is used to perform a prediction of the frame to code. The…
Richard Schweitzer, Thomas Seel, Jörg Raisch, Martin Rolfs
Eye movements routinely induce motion streaks as they shift visual projections across the retina at high speeds. To investigate the visual consequences of intra-saccadic motion streaks, we co-registered eye tracking and EEG while gaze-contingently shifting target objects during saccades, presenting either continuous…
Jennifer S. Doherty, Karla Kirkegaard
Enteroviruses encode two protease active sites, in the 2A and 3C coding regions. While they target many host proteins, they first need to be excised from the viral polyprotein in which they are embedded. Polyprotein cleavage can occur either intra-molecularly (in cis) or inter-molecularly (in trans). Previous work…
Shoeb Shaikh, Rosa So, Tafadzwa Sibindi, Camilo Libedinsky + 1 more
Fully implantable wireless intra-cortical Brain Machine Interfaces (iBMI) is one of the most promising next frontiers in the nascent field of neurotechnology. However, scaling the number of channels in such systems by another 10X is difficult due to power and bandwidth requirements of the wireless transmitter. One…
Robert H. Tai, Lillian R. Bentley, Xin Xia, Jason M. Sitt + 3 more
The increasing use of machine learning and Large Language Models (LLMs) opens up opportunities to use these artificially intelligent algorithms in novel ways. This article proposes a methodology using LLMs to support traditional deductive coding in qualitative research. We began our analysis with three different sample…
Lorenzo Valentini, Marco Chiani
In computer system buses, most of the energy is spent to change the voltage of each line from high to low or vice versa. Bus encoding schemes aim to improve energy efficiency by reducing the average number of transitions between successive uses of the bus. We derive in closed form the performance of optimal and…
Marie Simon, Bastien Rance, Sandrine Katsahian, Karim Bounebache + 5 more
The ICD codes are ubiquitously available in hospital information systems and have been used in a number of areas such as epidemiology, phenotype-genotype association mining, surveillance of the use of drugs and medical devices and health care evaluation. We aimed to analyze the timeliness of the 3-character ICD-10…
Qisheng Hu, Kaixin Li, Zhao Xu, Yuxi Xie + 4 more
'Qizhe Xie' 'Junxian He'] Code editing encompasses a variety of pragmatic tasks that developers deal with daily. Despite its relevance and practical usefulness, automatic code editing remains an underexplored area in the evolution of deep learning models, partly due to data scarcity. In this work, we explore the use of…
Romain Brette
“Neural coding” is a popular metaphor in neuroscience, where objective properties of the world are communicated to the brain in the form of spikes. Here I argue that this metaphor is often inappropriate and misleading. First, when neurons are said to encode experimental parameters, the implied communication channel…