Visual Quality Assessment by Machine Learning

Discover the cutting-edge insights in "Visual Quality Assessment by Machine Learning," authored by Long Xu and published by Springer Verlag in 2015. This enlightening paperback edition spans 132 pages and offers an extensive exploration of visual quality assessment (VQA) and learning-based visual quality assessment (LB-VQA). Long Xu meticulously compiles state-of-the-art methodologies in the field, providing readers with a thorough understanding of existing techniques and frameworks. Whether you're a researcher, practitioner, or simply interested in the impact of machine learning on visual quality evaluation, this book is an invaluable resource. Enhance your knowledge and stay ahead in the rapidly evolving landscape of visual quality assessment with this comprehensive guide.