18836986. Regularization Of A Probability Model For Entropy Coding (GOOGLE LLC)
Regularization Of A Probability Model For Entropy Coding
Organization Name
Inventor(s)
Jingning Han of Santa Clara CA US
Joseph Young of Mountain View CA US
In Suk Chong of Mountain View CA US
Debargha Mukherjee of Cupertino CA US
Regularization Of A Probability Model For Entropy Coding
This abstract first appeared for US patent application 18836986 titled 'Regularization Of A Probability Model For Entropy Coding
Original Abstract Submitted
Entropy coding a sequence of syntax elements is described where an observation for a syntax element of the sequence is determined, and the observation is arithmetic coded using the probability model. Thereafter, the probability model is updated using a time-variant update rate to produce an updated probability model. Updating the probability model includes regularizing one or more probability values of the probability model so no probability of the updated probability model is below a defined minimum resolution. As a result, the use of a minimum probability value during the arithmetic coding, which can distort probability model, may be omitted.