★ 3 (fi 6)(EITHER, 3-0-3)
Introduction to basic principles and algorithms used in multimedia systems. Students obtain hands-on experience in issues relating to multimedia data representation, compression, processing, and animation. Topics will be selected from image and video coding and transmission, animation, human perceptual issues associated to multimedia technologies. Prerequisites: one of CMPUT 306, CMPUT 307 or CMPUT 411, or consent of the instructor.
LECTURE A1 (86885)
2023-09-05 - 2023-12-08
MWF 11:00 - 11:50 (CSC B-41)
★ 3 (fi 6)(EITHER, 3-0-0)
LECTURE A01 (89635)
★ 3 (fi 6)(VAR, VARIABLE)
Artificial Intelligence (AI) in multimedia covers a wide range of topics. In general, it means simulating human intelligence using computer algorithms. This course introduces a high level understanding of machine learning/deep learning, which is a branch of AI. The instructor may decide to include reinforcement learning and other aspects of neural networks, as well as natural language processing depending on the course schedule. Sections offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.
LECTURE A1 (84911)
2023-09-05 - 2023-12-08
MW 14:00 - 16:20 (T 3-65)
★ 3 (fi 6)(EITHER, 3-0-3)
An introductory course on the theory and applications of computer based 3D modeling and animation. The course will cover a selection of topics from overview of tools supporting modeling and animation, automatically generating 3D models, and animation of skeleton based models through algorithms and software. Applications of 3D modeling and animation in games, virtual/augmented environments, movies, and emerging video transmission algorithms will be discussed. Prerequisites: one of CMPUT 206, 308, or 411; or consent of the instructor.
LECTURE B1 (10897)
2024-01-08 - 2024-04-12
MWF 14:00 - 14:50 (NRE 2-090)