US Patent Application 18175988. METHODS FOR ADAPTIVE SIGNALING OF MAXIMUM NUMBER OF MERGE CANDIDATES IN MULTIPLE HYPOTHESIS PREDICTION simplified abstract
METHODS FOR ADAPTIVE SIGNALING OF MAXIMUM NUMBER OF MERGE CANDIDATES IN MULTIPLE HYPOTHESIS PREDICTION
Organization Name
Inventor(s)
Han Huang of San Diego CA (US)
Marta Karczewicz of San Diego CA (US)
Vadim Seregin of San Diego CA (US)
METHODS FOR ADAPTIVE SIGNALING OF MAXIMUM NUMBER OF MERGE CANDIDATES IN MULTIPLE HYPOTHESIS PREDICTION - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18175988 Titled 'METHODS FOR ADAPTIVE SIGNALING OF MAXIMUM NUMBER OF MERGE CANDIDATES IN MULTIPLE HYPOTHESIS PREDICTION'
Simplified Explanation
This abstract describes techniques and devices for coding video data. The device includes memory to store the video data and processors to process the data. The processors are designed to determine if multiple-hypothesis prediction (MHP) is enabled. If it is, they determine the maximum number of merge candidates for a MHP merge candidate list and generate the list accordingly. Finally, the video data is coded based on this merge candidate list.
Original Abstract Submitted
Example techniques and devices are disclosed for coding video data. An example device includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine that multiple-hypothesis prediction (MHP) is enabled. The one or more processors are configured to, based on determining that MHP is enabled, determine a maximum number of merge candidates for a MHP merge candidate list. The one or more processors are configured to, based on the maximum number of merge candidates for the MHP merge candidate list, determine the MHP merge candidate list. The one or more processors are configured to code the video data based on the MHP merge candidate list.
