360 ^ Image Saliency Prediction by Embedding Self-Supervised Proxy Task

• Published in: IEEE transactions on broadcasting Vol. 69; no. 3; pp. 1 - 11
• Main Authors: Zou, Zizhuang, Ye, Mao, Li, Shuai, Li, Xue, Dufaux, Frederic
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: 360<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> ^{\circ}</tex-math> </inline-formula> image; Coders; Computer Science; Datasets; Decoding; Embedding; Faces; Feature extraction; Image Processing; Image transmission; Industrial development; Machine learning; proxy task; Salience; Saliency detection; saliency prediction; Self-supervised learning; Task analysis; Training; Video; 360° image; saliency prediction; proxy task

The development of Metaverse industry produces many 360<inline-formula> <tex-math notation="LaTeX">^{\circ}</tex-math> </inline-formula> images and videos. Transmitting these images or videos efficiently is the key to success of Metaverse. Since the subject's f...