Designs and Implementations in Neural Network-based Video Coding

The past decade has witnessed the huge success of deep learning in well-known artificial intelligence applications such as face recognition, autonomous driving, and large language model like ChatGPT. Recently, the application of deep learning has been extended to a much wider range, with neural network-based video coding being one of them. Neural network-based video coding can be performed at two different levels: embedding neural network-based (NN-based) coding tools into a classical video compression framework or building the entire compression framework upon neural networks. This paper elaborates some of the recent exploration efforts of JVET (Joint Video Experts Team of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC29) in the name of neural network-based video coding (NNVC), falling in the former category. Specifically, this paper discusses two major NN-based video coding technologies, i.e. neural network-based intra prediction and neural network-based in-loop filtering, which have been investigated for several meeting cycles in JVET and finally adopted into the reference software of NNVC. Extensive experiments on top of the NNVC have been conducted to evaluate the effectiveness of the proposed techniques. Compared with VTM-11.0_nnvc, the proposed NN-based coding tools in NNVC-4.0 could achieve {11.94%, 21.86%, 22.59%}, {9.18%, 19.76%, 20.92%}, and {10.63%, 21.56%, 23.02%} BD-rate reductions on average for {Y, Cb, Cr} under random-access, low-delay, and all-intra configurations respectively

Community Development: Current Issues and Emerging Challenges

This introduction puts the research and commentaries into context in three ways. First, it briefly summarizes the history and current state of the CDC [Community Development Corporation] movement and positions the work of CDCs within the rubric of major interventions targeted to poor communities. Second, it describes the current economic and public policy context for community development with an emphasis on the critical influence of the national economy and federal policies and programs. Finally, it identifies some major current issues and developments that could not be included as the subject of full articles but that will, nevertheless, affect the evolution of community development in the coming years

STRUCTURE OF FEMALE ENTREPRENEURSHIP: LATVIA EXAMPLE

5th International Academic Conference on Social Science, Multidisciplinary and European Studies (MIRDEC) -- SEP 12-14, 2017 -- Masters Int Res & Dev Ctr, Vienna, AUSTRIAWOS: 000426276100009This article creates a main frame of entrepreneurship and how important is the taking women workers into the business life as entrepreneurs on the economic and social way. After general view of women entrepreneurship, the analysis continues for Latvia that it has 2 importance which it's one of the transition economy and has highly women population in working age. On the end of analysis there are also some comparisons in working areas by gender and between EU countries and Latvia

Performance Comparison of New (Dendrimer, Nanoproduct) and Conventional Water, Oil and Stain Repellents

In this study, novel water, oil and stain repellent chemicals such as polymeric dendrimer containing fluorocarbon, nano sized fluorocarbon polymer, nano-silica acid and conventional agents such as paraffin emulsion containing zirconium salt and conventional FC (micro emulsion) compound were applied to cotton fabrics. After treatments, the water, oil and stain repellency, air permeability and water vapour permeability of all the fabrics treated were tested, and the effect of the chemical concentration, performance and washing resistance of all the chemicals were compared. In general, the water, oil and stain repellency results showed that new chemicals such as polymeric dendrimer containing FC and FC nanomolecules had better results than conventional ones in terms of performance and washing resistance. The performance of all the chemicals increased with a rise in chemical concentration. The air and water vapour permeability of all the fabrics treated were not negatively affected. FTIR analyses of the fabrics treated were also carried out

Performance Comparison of New (Dendrimer, Nanoproduct) and Conventional Water, Oil and Stain Repellents

In this study, novel water, oil and stain repellent chemicals such as polymeric dendrimer containing fluorocarbon, nano sized fluorocarbon polymer, nano-silica acid and conventional agents such as paraffin emulsion containing zirconium salt and conventional FC (micro emulsion) compound were applied to cotton fabrics. After treatments, the water, oil and stain repellency, air permeability and water vapour permeability of all the fabrics treated were tested, and the effect of the chemical concentration, performance and washing resistance of all the chemicals were compared. In general, the water, oil and stain repellency results showed that new chemicals such as polymeric dendrimer containing FC and FC nanomolecules had better results than conventional ones in terms of performance and washing resistance. The performance of all the chemicals increased with a rise in chemical concentration. The air and water vapour permeability of all the fabrics treated were not negatively affected. FTIR analyses of the fabrics treated were also carried out

Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard

The paper provides an overview of the quantization and entropy coding methods in the Versatile Video Coding (VVC) standard. Special focus is laid on techniques that improve coding efficiency relative to the methods included in the High Efficiency Video Coding (HEVC) standard: The inclusion of trellis-coded quantization, the advanced context modeling for entropy coding of transform coefficient levels, the arithmetic coding engine with multi-hypothesis probability estimation, and the joint coding of chroma residuals. Beside a description of the design concepts, the paper also discusses motivations and implementation aspects. The effectiveness of the quantization and entropy coding methods specified in VVC is validated by experimental results