Content-dependency reduction with multi-task learning in blind stitched panoramic image quality assessment

• Main Authors: Hou, Jingwen, Lin, Weisi, Zhao, Baoquan
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Blind Image Quality Assessment; Stitched Panoramic Image
• Online Access: https://hdl.handle.net/10356/144376
• Institution: Nanyang Technological University

In this work, we investigate deep learning based solutions to blind quality assessment of stitched panoramic images (SPI). The main problem to tackle is that the ground truth data is usually insufficient. As a result, the learned model can easily overfit data with specific content. Because most dist...