STATISTICAL MULTIPLEXED VIDEO ENCODING USING PRE-ENCODING A PRIORI STATISTICS AND A PRIORI AND A POSTERIORI STATISTICS

Patent №

US 6,038,256

Granted

2000-03-14

Filed 1996

Owner

C-CUBE MICROSYSTEMS INC.

Lab

AI components

2

vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08775313

A statistical multiplexing apparatus and method for generating and combining a plurality of encoded video bit streams. A storage device contains pre-stored a priori statistics indicative of the encoding complexity of the video signals from which the encoded video bit streams will be generated. The pre-stored a priori statistics may include inter-pixel differences in the same picture or between multiple pictures or pre-encoding a priori statistics generated during a preliminary encoding of the video signals. Examples of pre-encoding a priori statistics include the number of bits per picture at a given quantization level, an average quantization level, picture types, scene change locations and repeat field for one or more of the video bit streams. The video signals are applied to encoders which compress the signals in accordance with bit allocation decisions generated by a statistics computer. The statistics computer uses only pre-encoding a priori statistics from the storage device to generate bit allocation decisions. Alternatively, the statistics computer may use any type of a priori statistics in conjunction with a posteriori statistics received from the encoders in allocating bits. The resulting compressed video bit streams are applied to a multiplexer and combined into a single multiplexed bit stream for transmission on a single channel. The statistics computer thus has access to additional information regarding the encoding complexity of the video bit streams to be encoded and combined, and can therefore generate more accurate bit allocations and better maintain consistent video quality across multiple encoded bit streams.

VisionKnowledge representationH04H 20/42H04H 20/30H04N 19/115H04N 19/14H04N 19/142H04N 19/149H04N 19/172H04N 19/179+6 more

AI classification

Knowledge representation0.67
Vision0.64
Planning0.49
Machine learning0.02
Evolutionary computation0.01
Speech0.00
AI hardware0.00
Natural language0.00

Ownership

C-CUBE MICROSYSTEMS INC.

assignment · 84160354

Assignors

LINZER, ELLIOT N., WELLS, AARON

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC