Video Coding and Processing

Dear Colleagues,

In recent years, the demand for multimedia services, especially video, has rapidly increased. This growth is driven by the need for higher resolutions, frame rates, and sampling precision. Consequently, the volume of data required for processing, storage, and transmission has significantly risen. Researchers are now faced with the ongoing challenge of developing advanced video compression standards that can reduce data size while maintaining visual quality. To evaluate the performance of these codecs, a variety of assessment techniques are essential. These techniques include both objective and subjective methods, collectively known as Quality of Experience (QoE), which aim to capture the perceived quality from the user’s perspective.

This Special Issue focuses on the theoretical and practical design issues of video compression and coding. Our aim is to bring together researchers, industry experts and companies working in related areas to share their new ideas, latest findings, and state-of-the-art achievements with others.

The topics of interest include, but are not limited to, the following:

• Image coding and compression;
• Video coding and compression;
• Machine learning in image and video coding;
• Coding techniques for 3D and immersive video;
• Quality of service (QoS);
• Quality of experience (QoE);
• Machine learning in QoS and QoE;
• Adaptive bitrate streaming.

Dr. Miroslav Uhrina
Dr. Juraj Bienik
Dr. Adam Hnat
Guest Editors

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