CONTEXT MODEL CACHE-MANAGEMENT IN A DUAL-PIPELINE CABAC ARCHITECTURE

Patent №

US 9,258,565

Granted

2016-02-09

Filed 2011

Owner

ZENVERGE, INC.

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13172775

A method and system are disclosed for managing cache memory in a dual-pipelined CABAC encoder. A request for a context model is received from both encoder pipelines. If the requested context model is not stored in cache, the requested context model is retrieved from a context table. At least one context model stored in cache is written to the context table. The retrieved context model is updated and written to the cache. If the requested context model is stored in cache, and if the requested context model was updated in the previous clock cycle, the requested context model is retrieved from the pipeline, updated, and written to cache. If the requested context model is not stored in cache, and if the requested contest model was not updated in the previous clock cycle, the requested context model retrieved from cache, updated, and written back to cache.

AI hardwareH04N 19/13H04N 19/423H04N 19/91H04N 19/102

AI classification

AI hardware0.99
Knowledge representation0.26
Machine learning0.15
Vision0.12
Planning0.09
Natural language0.04
Evolutionary computation0.01
Speech0.00

Ownership

ZENVERGE, INC.

assignment · 265330358

Assignors

JACOB, ROJIT

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

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