Subjective and Objective Video Quality Assessment of High Dynamic Range Sports Content

Shang, Zaixi; Chen, Yixu; Wu, Yongjun; Wei, Hai; Sethuraman, Sriram

doi:10.1109/wacvw58289.2023.00062

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…Due to the fact that the values of these 15 factors are distributed dis orderly, a z-score standardization is required to allow the data follow the same distribution state. Hence, the standardized table of the 15 significant factors related to the "momentum" of tennis players is obtained [7][8]. The excerpt is given below, where values are kept three decimal places.…”

Section: Data Processing Based On Pcamentioning

confidence: 99%

Measuring the wind vane of Success by Momentum based on PCA

Liu,

Gu,

Yang

2024

HSET

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Tennis is a sport favored and admired by countless number of people throughout the world, which comprises two playing styles: singles and doubles. The paper presents a quantitative definition of the “momentum” and constructs two models regarding “momentum” and performance through analyzing various factors in the matches. We divide the given data into the training set and the testing set, and extract useful information under each point. Then, through analyzing various factors comprising serve counts, situation of ace and so on, conduct the dimensionality reduction utilizing PCA. Then we classify the performance of players per point into three key factors: endurance performance, serving performance and scoring performance and give the corresponding evaluation standard. Finally we utilize our models and analysis of the result, we present several related suggestions for coaches and players.

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Section: Data Processing Based On Pcamentioning

confidence: 99%

Measuring the wind vane of Success by Momentum based on PCA

Liu,

Gu,

Yang

2024

HSET

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“…This study includes 14 HDR10 source contents using H.264 and HEVC to generate 140 distorted videos. Recent works in HDR subjective VQA include LIVE-HDR (Shang et al, 2022a) and HDR Sports (Shang et al, 2023) databases. The LIVE-HDR database comprises 310 HDR10 videos with various compression and scaling distortions.…”

Section: Hdr Databasesmentioning

confidence: 99%

Perceptual video quality assessment: the journey continues!

Saha,

Pentapati,

Shang

et al. 2023

Front. Signal Process.

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Perceptual Video Quality Assessment (VQA) is one of the most fundamental and challenging problems in the field of Video Engineering. Along with video compression, it has become one of two dominant theoretical and algorithmic technologies in television streaming and social media. Over the last 2 decades, the volume of video traffic over the internet has grown exponentially, powered by rapid advancements in cloud services, faster video compression technologies, and increased access to high-speed, low-latency wireless internet connectivity. This has given rise to issues related to delivering extraordinary volumes of picture and video data to an increasingly sophisticated and demanding global audience. Consequently, developing algorithms to measure the quality of pictures and videos as perceived by humans has become increasingly critical since these algorithms can be used to perceptually optimize trade-offs between quality and bandwidth consumption. VQA models have evolved from algorithms developed for generic 2D videos to specialized algorithms explicitly designed for on-demand video streaming, user-generated content (UGC), virtual and augmented reality (VR and AR), cloud gaming, high dynamic range (HDR), and high frame rate (HFR) scenarios. Along the way, we also describe the advancement in algorithm design, beginning with traditional hand-crafted feature-based methods and finishing with current deep-learning models powering accurate VQA algorithms. We also discuss the evolution of Subjective Video Quality databases containing videos and human-annotated quality scores, which are the necessary tools to create, test, compare, and benchmark VQA algorithms. To finish, we discuss emerging trends in VQA algorithm design and general perspectives on the evolution of Video Quality Assessment in the foreseeable future.

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“…UGC databases are typically much larger than those that study the quality of professional-grade content because they can be conducted online via crowdsourcing owing to looser requirements on the display devices, resolution, and bitrate. LIVE HDR [10], LIVE AQ HDR [11], and APV HDR Sports [12] are recent databases that study the quality of professionally-created HDR videos that have been downsampled and compressed at various resolutions and bitrates.…”

Section: Related Workmentioning

confidence: 99%

Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates

Ebenezer

Chen

et al. 2022

2022 IEEE International Conference on Image Processing (ICIP)

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Videos often have to be transmitted and stored at low bitrates due to poor network connectivity during adaptive bitrate streaming. Designing optimal bitrate ladders that would select the perceptually-optimized resolution, frame-rate, and compression level for low-bitrate videos for adaptive streaming across the internet is therefore a task of great interest. Towards that end, we conducted the first large-scale study of medium and low-bitrate videos from live sports for two codecs (Elemental AVC and HEVC) and created the Amazon Prime Video Low-Bitrate Sports (APV LBS) dataset. The study involved 94 participants and 742 videos, with more than 23,000 human opinion scores collected in total. We analyzed the data obtained and we also conducted an extensive evaluation of objective Video Quality Assessment (VQA) algorithms and benchmarked their performance, and make recommendations on bitrate ladder design. We're making the metadata and VQA features available at https://github.com/JoshuaEbenezer/lbmfr-public.

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Subjective and Objective Video Quality Assessment of High Dynamic Range Sports Content

Cited by 10 publications

References 19 publications

Measuring the wind vane of Success by Momentum based on PCA

Measuring the wind vane of Success by Momentum based on PCA

Perceptual video quality assessment: the journey continues!

Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates

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