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 879 FWCI0

Artificial intelligence for the metaverse: A survey

article Full Text OpenAlex 679 FWCI50.756

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

article Full Text OpenAlex 662 FWCI54.8604

Exploring CLIP for Assessing the Look and Feel of Images

conference-paper Full Text OpenAlex 604 FWCI70.4275

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

article Full Text OpenAlex 544 FWCI40.961

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

conference-paper Full Text OpenAlex 440 FWCI32.5343

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

conference-paper Full Text OpenAlex 415 FWCI32.7187

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

conference-paper Full Text OpenAlex 380 FWCI30.138

Adaptive EPI-Matching Cost for Light Field Disparity Estimation

article Full Text OpenAlex 345 FWCI76.6648

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

review Full Text OpenAlex 287 FWCI5.0217