19 papers · ranked by Valyu relevance
Thomas Amestoy, Pierre-loup Cabarat, Guillaume Gautier, Wassim Hamidouche + 1 more
'Wassim Hamidouche' 'Daniel Ménard'] Abstract—In the recent years, users requirements for higher resolution, coupled with the apparition of new multimedia applications, have created the need for a new video coding standard. The new generation video coding standard, called Versatile Video Coding (VVC), has been…
Bin Zhu, Shan Liu, Liu Yuan, Yi Luo + 7 more
'Ying Huang' 'Hualong Jiao' 'Xiaozhong Xu' 'Xianguo Zhang' 'Chenchen Gu'] Versatile Video Coding Standard (H.266/VVC) was completed by Joint Video Expert Team (JVET) of ITU-T and ISO/IEC, in July 2020. This new ITU recommendation/international standard is a successor to the well-known H.265/HEVC video coding standard…
Yiming Li, Shan Liu, Chen Yu, Yushan Zheng + 3 more
'Jian Lou'] Abstract—As the successor of H.265/HEVC, the new versatile video coding standard (H.266/VVC) can provide up to 50% bitrate saving with the same subjective quality, at the cost of increased decoding complexity. To accelerate the application of the new coding standard, a real-time H.266/VVC software decoder…
Anup Saha, Miguel Chavarrías, Fernando Pescador, Ángel M. Groba + 3 more
'Kheyter Chassaigne' 'Pedro L. Cebrián' 'Cosimo Distante'] The increase in high-quality video consumption requires increasingly efficient video coding algorithms. Versatile video coding (VVC) is the current state-of-the-art video coding standard. Compared to the previous video standard, high efficiency video coding…
Matthias Kränzler, Adam Wieckowski, Geetha Ramasubbu, Benjamin Bross + 3 more
'André Kaup' 'Detlev Marpe' 'Christian Herglotz'] The optimization of the energy demand is crucial for modern video codecs. Previous studies show that the energy demand of VVC decoders can be improved by more than 50% if specific coding tools are disabled in the encoder. However, those approaches increase the bit rate…
Adam Wieckowski, Christian Lehmann, Benjamin Bross, Detlev Marpe + 3 more
'Thibaud Biatek' 'Mikael Raulet' 'Jean Le Feuvre'] Versatile Video Coding (VVC) is the most recent international video coding standard jointly developed by ITU-T and ISO/IEC, which has been finalized in July 2020. VVC allows for significant bit-rate reductions around 50% for the same subjective video quality compared…
Kiho Choi, Jan Cornelis
Versatile Video Coding (VVC)/H.266, completed in 2020, provides half the bitrate of the previous video coding standard (i.e., High-Efficiency Video Coding (HEVC)/H.265) while maintaining the same visual quality. The primary goal of VVC/H.266 is to achieve a compression capability that is noticeably better than that of…
Varsha Kakkara, Karthi Balasubramanian, B. Yamuna, Deepak Mishra + 3 more
'Karthikeyan Lingasubramanian' 'Senthil Murugan' 'Miriam Leeser'] Integrated circuits may be vulnerable to hardware Trojan attacks during its design or fabrication phases. This article is a case study of the design of a Viterbi decoder and the effect of hardware Trojans on a coded communication system employing the…
T. Kalavathi Devi, Sakthivel Palaniappan
Convolutional codes are comprehensively used as Forward Error Correction (FEC) codes in digital communication systems. For decoding of convolutional codes at the receiver end, Viterbi decoder is often used to have high priority. This decoder meets the demand of high speed and low power. At present, the design of a…
Pedro Alcolea, Xuan Ma, Kevin Bodkin, Lee E. Miller + 1 more
We designed the discrete direction selection (DDS) decoder for intracortical brain computer interface (iBCI) cursor control and showed that it outperformed currently used decoders in a human-operated real-time iBCI simulator and in monkey iBCI use. Unlike virtually all existing decoders that map between neural activity…
Lei Zhang, Mohan Yuan, Asaf Gilboa, Claude Alain
When recalling past episodes, different features of an experience, such as conceptual meaning and perceptual detail, are reconstructed and reinstated across distributed cortical regions. However, current models of human memory remain unclear how these feature-specific reinstatements unfold over time, and whether they…
Benson Chen, Xiang Fu, Tommi Jaakkola, Regina Barzilay
Searching for novel molecular compounds with desired properties is an important problem in drug discovery. Many existing frameworks generate molecules one atom at a time. We instead propose a flexible editing paradigm that generates molecules using learned molecular fragments---meaningful substructures of molecules. To…
Kohulan Rajan, Henning Otto Brinkhaus, Achim Zielesny, Christoph Steinbeck
Accurate recognition of hand-drawn chemical structures is crucial for digitising hand-written chemical information found in traditional laboratory notebooks or for facilitating stylus-based structure entry on tablets or smartphones. However, the inherent variability in hand-drawn structures poses challenges for…
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…
Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Mtsumoto + 2 more
Molecular generation is crucial for advancing drug discovery, material design, and chemical exploration. It expedites the search for new drug candidates, facilitates tailored material creation, and enhances our understanding of molecular diversity. By employing artificial intelligence techniques, such as molecular…
R. Jabakhanji, A.D. Vigotsky, J. Bielefeld, L. Huang + 3 more
High-profile studies claim to assess mental states across individuals using multi-voxel decoders of brain activity. The fixed, fine-grained, multi-voxel patterns in these “optimized” decoders are purportedly necessary for discriminating between, and accurately identifying, mental states. Here, we present compelling…
Islam S. Badreldin, Karim G. Oweiss
Brain-machine interfaces rely on extracting motor control signals from brain activity in real time to actuate external devices such as robotic limbs. Whereas biomimetic approaches to neural decoding use motor imagery/observation signals, non-biomimetic approaches assign an arbirary transformation that maps neural…
Hisham Temmar, Matthew S. Willsey, Joseph T. Costello, Matthew J. Mender + 6 more
Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries by ‘decoding’ neural signals into behavior. Recently, nonlinear BMI decoders have outperformed previous state-of-the-art linear decoders, but few studies have investigated what specific improvements these nonlinear…
Young Joon Kim, Nora Brackbill, Ella Batty, JinHyung Lee + 4 more
Decoding sensory stimuli from neural activity can provide insight into how the nervous system might interpret the physical environment, and facilitates the development of brain-machine interfaces. Nevertheless, the neural decoding problem remains a significant open challenge. Here, we present an efficient nonlinear…