scholarly journals Impact of Scene Content on High Resolution Video Quality

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2872
Author(s):  
Miroslav Uhrina ◽  
Anna Holesova ◽  
Juraj Bienik ◽  
Lukas Sevcik
Keyword(s):  
Video Compression ◽  
Spatial Information ◽  
Video Quality ◽  
Video Sequences ◽  
Compression Efficiency ◽  
Opinion Score ◽  
Scene Description ◽  
Two Parameters ◽  
The University ◽  
The Impact

This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB—Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.

scholarly journals Adaptive Reservation of Network Resources According to Video Classification Scenes

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1949
Author(s):  
Lukas Sevcik ◽  
Miroslav Voznak
Keyword(s):  
User Satisfaction ◽  
Quality Evaluation ◽  
Spatial Information ◽  
Service Providers ◽  
Video Quality ◽  
Subjective Assessment ◽  
Video Sequences ◽  
Network Resources ◽  
Proposed Model

Video quality evaluation needs a combined approach that includes subjective and objective metrics, testing, and monitoring of the network. This paper deals with the novel approach of mapping quality of service (QoS) to quality of experience (QoE) using QoE metrics to determine user satisfaction limits, and applying QoS tools to provide the minimum QoE expected by users. Our aim was to connect objective estimations of video quality with the subjective estimations. A comprehensive tool for the estimation of the subjective evaluation is proposed. This new idea is based on the evaluation and marking of video sequences using the sentinel flag derived from spatial information (SI) and temporal information (TI) in individual video frames. The authors of this paper created a video database for quality evaluation, and derived SI and TI from each video sequence for classifying the scenes. Video scenes from the database were evaluated by objective and subjective assessment. Based on the results, a new model for prediction of subjective quality is defined and presented in this paper. This quality is predicted using an artificial neural network based on the objective evaluation and the type of video sequences defined by qualitative parameters such as resolution, compression standard, and bitstream. Furthermore, the authors created an optimum mapping function to define the threshold for the variable bitrate setting based on the flag in the video, determining the type of scene in the proposed model. This function allows one to allocate a bitrate dynamically for a particular segment of the scene and maintains the desired quality. Our proposed model can help video service providers with the increasing the comfort of the end users. The variable bitstream ensures consistent video quality and customer satisfaction, while network resources are used effectively. The proposed model can also predict the appropriate bitrate based on the required quality of video sequences, defined using either objective or subjective assessment.

scholarly journals Impact of Video Compression and Multimodal Embedding on Scene Description

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 963
Author(s):  
Jin Young Lee
Keyword(s):  
Deep Learning ◽  
Video Compression ◽  
Automatic Generation ◽  
Image Motion ◽  
Label Information ◽  
Scene Description ◽  
The Impact ◽  
Potential Issue ◽  
Simple Network ◽  
Compression Artifacts

Scene description refers to the automatic generation of natural language descriptions from videos. In general, deep learning-based scene description networks utilize multimodalities, such as image, motion, audio, and label information, to improve the description quality. In particular, image information plays an important role in scene description. However, scene description has a potential issue, because it may handle images with severe compression artifacts. Hence, this paper analyzes the impact of video compression on scene description, and then proposes a simple network that is robust to compression artifacts. In addition, a network cascading more encoding layers for efficient multimodal embedding is also proposed. Experimental results show that the proposed network is more efficient than conventional networks.

Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset

2020 ◽  
Vol 2020 (11) ◽  
pp. 93-1-93-7
Author(s):  
Lohic Fotio Tiotsop ◽  
Antonio Servetti ◽  
Enrico Masala
Keyword(s):  
Video Quality ◽  
Quality Measures ◽  
Point Of View ◽  
Video Sequences ◽  
Spatial Activity ◽  
Full Reference ◽  
Public Dataset ◽  
Video Quality Metrics ◽  
The Impact

Large subjectively annotated datasets are crucial to the development and testing of objective video quality measures (VQMs). In this work we focus on the recently released ITS4S dataset. Relying on statistical tools, we show that the content of the dataset is rather heterogeneous from the point of view of quality assessment. Such diversity naturally makes the dataset a worthy asset to validate the accuracy of video quality metrics (VQMs). In particular we study the ability of VQMs to model the reduction or the increase of the visibility of distortion due to the spatial activity in the content. The study reveals that VQMs are likely to overestimate the perceived quality of processed video sequences whose source is characterized by few spatial details. We then propose an approach aiming at modeling the impact of spatial activity on distortion visibility when objectively assessing the visual quality of a content. The effectiveness of the proposal is validated on the ITS4S dataset as well as on the Netflix public dataset.

scholarly journals Load Balancing Strategies for Slice-Based Parallel Versions of JEM Video Encoder

Algorithms ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 320
Author(s):  
Héctor Migallón ◽  
Otoniel López-Granado ◽  
Miguel O. Martínez-Rach ◽  
Vicente Galiano ◽  
Manuel P. Malumbres
Keyword(s):  
Load Balancing ◽  
Video Coding ◽  
Shared Memory ◽  
Video Compression ◽  
Software Package ◽  
Video Quality ◽  
Depth Resolution ◽  
Test Model ◽  
Video Traffic ◽  
Compression Efficiency

The proportion of video traffic on the internet is expected to reach 82% by 2022, mainly due to the increasing number of consumers and the emergence of new video formats with more demanding features (depth, resolution, multiview, 360, etc.). Efforts are therefore being made to constantly improve video compression standards to minimize the necessary bandwidth while retaining high video quality levels. In this context, the Joint Collaborative Team on Video Coding has been analyzing new video coding technologies to improve the compression efficiency with respect to the HEVC video coding standard. A software package known as the Joint Exploration Test Model has been proposed to implement and evaluate new video coding tools. In this work, we present parallel versions of the JEM encoder that are particularly suited for shared memory platforms, and can significantly reduce its huge computational complexity. The proposed parallel algorithms are shown to achieve high levels of parallel efficiency. In particular, in the All Intra coding mode, the best of our proposed parallel versions achieves an average efficiency value of 93.4%. They also had high levels of scalability, as shown by the inclusion of an automatic load balancing mechanism.

The Impact of a Potential Public/Private Initiative on a Defined Region of the South Suburban Chicago Metropolitan Area

2019 ◽  
pp. 14-32
Keyword(s):  
Supply Chain ◽  
Economic Impact ◽  
Impact Analysis ◽  
Census Data ◽  
Economic Benefits ◽  
Local Economy ◽  
Market Area ◽  
State And Local ◽  
The University ◽  
The Impact

The university is considered one of the engines of growth in a local economy or its market area, since its direct contributions consist of 1) employment of faculty and staff, 2) services to students, and supply chain links vendors, all of which define the University’s Market area. Indirect contributions consist of those agents associated with the university in terms of community and civic events. Each of these activities represent economic benefits to their host communities and can be classified as the economic impact a university has on its local economy and whose spatial market area includes each of the above agents. In addition are the critical links to the University, which can be considered part of its Demand and Supply chain. This paper contributes to the field of Public/Private Impact Analysis, which is used to substantiate the social and economic benefits of cooperating for economic resources. We use Census data on Output of Goods and Services, Labor Income on Salaries, Wages and Benefits, Indirect State and Local Taxes, Property Tax Revenue, Population, and Inter-Industry to measure economic impact (Implan, 2016).

Working at the Crossroads: A Guide for Border Crossing

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
John Mckiernan-González
Keyword(s):  
American Studies ◽  
Collaborative Work ◽  
Border Crossing ◽  
Keynote Address ◽  
Cross Border ◽  
Entry Points ◽  
Academic Labor ◽  
Boyle Heights ◽  
The University ◽  
The Impact

This article discusses the impact of George J. Sánchez’s keynote address “Working at the Crossroads” in making collaborative cross-border projects more academically legitimate in American studies and associated disciplines. The keynote and his ongoing administrative labor model the power of public collaborative work to shift research narratives. “Working at the Crossroads” demonstrated how historians can be involved—as historians—in a variety of social movements, and pointed to the ways these interactions can, and maybe should, shape research trajectories. It provided a key blueprint and key examples for doing historically informed Latina/o studies scholarship with people working outside the university. Judging by the success of Sánchez’s work with Boyle Heights and East LA, projects need to establish multiple entry points, reward participants at all levels, and connect people across generations.I then discuss how I sought to emulate George Sánchez’s proposals in my own work through partnering with labor organizations, developing biographical public art projects with students, and archiving social and cultural histories. His keynote address made a back-and-forth movement between home communities and academic labor seem easy and professionally rewarding as well as politically necessary, especially in public universities. 

Analyse des interactions didactiques lors de l’enseignement du football à l’école Tunisienne

2013 ◽  
Vol 22 (5-6) ◽  
pp. 387-404
Author(s):  
Guerchi Maher ◽  
Makram Zghibi
Keyword(s):  
Physical Education ◽  
Qualitative Methodology ◽  
Video Sequences ◽  
Physical Education Teacher ◽  
Education Teacher ◽  
Social Facts ◽  
Close Observation ◽  
The Impact

Abstract Our research focuses on describing what is really happening when a teacher wants to transmit to pupils - girls and boys - knowledge socially marked as masculine. To describe the processes involved in effective didactic interactions between a teacher a pupil and knowledge, we opted for qualitative methodology, consisting on a close observation of the didactic interactions of a teacher with his pupils (girls and boys). Analysis of the interviews focused especially on the nature of knowledge actually transmitted for girls and boys. The studied video sequences permitted to study the didactic interactions more precisely as are actually happening on the pitch. Both tools allowed us to identify the educational intentions of teachers (specialist or not); women or men in the teaching of football. The results show that teachers’ conceptions influence implicitly or explicitly the modalities of their interventions and the nature of football knowledge transmitted to pupils. This makes us think that the impact of social facts (backgrounds) on Tunisian teachers is great. This phenomenon may lock the physical education teacher in some representations modeling masculine and feminine stereotypes and affect his didactic and teaching contribution. Therefore, the teacher must be aware of the impact of the connotation that may have certain “masculine” practices on his interventions and consequently over the pupils learning (either boys or girls).

Factors Influencing Academic Stress on Students of University of Economics and Business - Vietnam National University

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Nham Phong Tuan ◽  
Nguyen Ngoc Quy ◽  
Nguyen Thi Thanh Huyen ◽  
Hong Tra My ◽  
Tran Nhu Phu
Keyword(s):  
Academic Stress ◽  
Stress Factors ◽  
Negative Effects ◽  
Cross Sectional ◽  
Stress Scale ◽  
Perceptions And Attitudes ◽  
National University ◽  
Questionnaire Surveys ◽  
The University ◽  
The Impact

The objective of this study is to investigate the impact of seven factors causing academic stress on students of University of Economics and Business - Vietnam National University: Lack of leisure time, Academic performance, Fear of failure, Academic overload, Finances, Competition between students, Relationships with university faculty. Based on the results of a practical survey of 185 students who are attending any courses at the University of Economics and Business - Vietnam National University, the study assesses the impact of stress factors on students. The thesis focuses on clarifying the concept of "stress" and the stress level of students, while pointing out its negative effects on students. This study includes two cross-sectional questionnaire surveys. The first survey uses a set of 16 questions to assess students’ perceptions and attitudes based on an instrument to measure academic stress - Educational Stress Scale for Adolescents (ESSA). The second survey aims to test internal consistency, the robustness of the previously established 7-factor structure. Henceforth, the model was brought back and used qualitatively, combined with Cronbach’s Alpha measurement test and EFA discovery factor analysis. This study was conducted from October 2019 to December 2019. From these practical analyzes, several proposals were made for the society, the school and the students themselves.

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