Specialised Video Quality Model For Enhanced User Generated Content (UGC) With Special Effects

Perrin, Anne-Flore; Xie, Yejing; Zhang, Tao; Liao, Yi‐Chu; Li, Junlin; Callet, Patrick Le

doi:10.1109/icassp43922.2022.9746539

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Consequently, these changes make the image look less similar to the original image, leading to the deterioration of full-reference evaluation metrics such as PSNR, but look better to the human viewers. In this case, we assess our framework on no-referenced image quality assessment, VQscore, consisting of a CNN backbone for feature extraction and a transformer encoder for quality prediction [33,10]. VQscore is well-tailored to enhanced and filtered UGC and outperforms the other encoding-quality assessment systems in Challenge on Quality Assessment of Compressed UGC Videos ICME 2021 [34], which is more suitable for actual application scenarios, and more similar to users with aesthetic preferences.…”

Section: Perceptual Metricsmentioning

confidence: 99%

A Unified Image Preprocessing Framework For Image Compression

Zhang¹,

Deng²,

Li³

2022

Preprint

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With the development of streaming media technology, increasing communication relies on sound and visual information, which puts a massive burden on online media. Data compression becomes increasingly important to reduce the volume of data transmission and storage. To further improve the efficiency of image compression, researchers utilize various image processing methods to compensate for the limitations of conventional codecs and advanced learning-based compression methods. Instead of modifying the image compression oriented approaches, we propose a unified image compression preprocessing framework, called Kuchen, which aims to further improve the performance of existing codecs. The framework consists of a hybrid data labeling system along with a learning-based backbone to simulate personalized preprocessing. As far as we know, this is the first exploration of setting a unified preprocessing benchmark in image compression tasks. Results demonstrate that the modern codecs optimized by our unified preprocessing framework constantly improve the efficiency of the state-of-the-art compression.

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Section: Perceptual Metricsmentioning

confidence: 99%

A Unified Image Preprocessing Framework For Image Compression

Zhang¹,

Deng²,

Li³

2022

Preprint

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Multi-patch Learning: Looking More Pixels in the Training Phase

Li¹,

Jingzhu²,

Chen³

et al. 2023

Lecture Notes in Computer Science

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Multidimensional product market performance evaluation based on a weak expert comparative viewpoint mining framework

Wang,

Jiang,

et al. 2024

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PurposeMarket evaluation of products is the basis for product innovation, yet traditional expert-based evaluation methods are highly dependent on the specialization of experts. There exist a lot of weak expert-generated texts on the Internet of their own subjective evaluations of products. Analyzing these texts can indirectly extract the opinions of weak experts and transform them into decision-support information that assists product designers in understanding the market.Design/methodology/approachIn social networks, a subset of users, termed “weak experts”, possess specialized knowledge and frequently share their product experiences online. This study introduces a comparative opinion mining framework that leverages the insights of “weak experts” to analyze user opinions.FindingsAn automotive product case study demonstrates that evaluations based on weak expert insights offer managerial insights with a 99.4% improvement in timeliness over traditional expert analyses. Furthermore, in the few-shot sentiment analysis module, with only 10% of the sample, the precision loss is just 1.59%. In addition, the quantitative module of specialization weighting balances low-specialization expert opinions and boosts the weight of high-specialization weak expert views. This new framework offers a valuable tool for companies in product innovation and market strategy development.Originality/valueThis study introduces a novel approach to opinion mining by focusing on the underutilized insights of weak experts. It combines few-shot sentiment analysis with specialization weighting and AHP, offering a comprehensive and efficient tool for product evaluation and market analysis.

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Specialised Video Quality Model For Enhanced User Generated Content (UGC) With Special Effects

Cited by 3 publications

References 15 publications

A Unified Image Preprocessing Framework For Image Compression

A Unified Image Preprocessing Framework For Image Compression

Multi-patch Learning: Looking More Pixels in the Training Phase

Multidimensional product market performance evaluation based on a weak expert comparative viewpoint mining framework

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