专题:Image and Video Quality Assessment

This cluster of papers focuses on the assessment of image and video quality, covering topics such as perceptual quality, no-reference assessment, deep learning, structural similarity index, HTTP adaptive streaming, blur assessment, and quality of experience in multimedia content.
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近5年高被引文献
Multiscale structural similarity for image quality assessment

article Full Text OpenAlex 878 FWCI0

Artificial intelligence for the metaverse: A survey

article Full Text OpenAlex 665 FWCI63.3656

Marketing in the Metaverse: Conceptual understanding, framework, and research agenda

article Full Text OpenAlex 645 FWCI67.6848

Exploring CLIP for Assessing the Look and Feel of Images

article Full Text OpenAlex 544 FWCI31.6242

A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

article Full Text OpenAlex 528 FWCI51.0728

MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

article Full Text OpenAlex 396 FWCI20.6476

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

article Full Text OpenAlex 392 FWCI20.9426

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

book-chapter Full Text OpenAlex 356 FWCI45.3333

Adaptive EPI-Matching Cost for Light Field Disparity Estimation

article Full Text OpenAlex 341 FWCI102.5047

The potential of immersive virtual reality to enhance learning: A meta-analysis

review Full Text OpenAlex 264 FWCI25.168