Difference coding adaptive context model using counting

Details Difference coding adaptive context model using counting Difference coding adaptive context model using counting

2008-04-10

2010-02-02

Young, Brian (Department: 2819)

Coded data generation or conversion

Digital code to digital code converters

To or from particular bit symbol

C341S107000

Reexamination Certificate

active

07656320

ABSTRACT:
Techniques for improving encoding and decoding data are described herein. According to one embodiment, it is determined whether a current context can encode a retrieved symbol. The current context includes a plurality entries, each representing an encoded symbol, including a count value representing a frequency of the entry being used. A code is generated to a code stream, where the code represents a difference between an index of an entry in the current context associated with the retrieved symbol and a previous index used for encoding a previous symbol, if the current context can encode the retrieved symbol. A count value corresponding to the entry associated with the retrieved symbol is incremented in the current context. The current context is sorted based on count values of all entries in the current context, where the code stream and the literal stream are to be compressed and encoded by a compressor.

REFERENCES:
patent: 5886655 (1999-03-01), Rust
patent: 7408487 (2008-08-01), Cho

Affiliated with

Also associated with

Rating

Difference coding adaptive context model using counting does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Difference coding adaptive context model using counting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Difference coding adaptive context model using counting will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4233562