Video compression algorithm with adaptive bit allocation and quantization

Eric Viscito; Cesar A. Gonzales

doi:10.1117/12.50299

1 November 1991 Video compression algorithm with adaptive bit allocation and quantization

Eric Viscito, Cesar A. Gonzales

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50299
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

The emerging ISO MPEG video compression standard is a hybrid algorithm which employs motion compensation, spatial discrete cosine transforms, quantization, and Huffman coding. The MPEG standard specifies the syntax of the compressed data stream and the method of decoding, hut leaves considerable latitude in the design of the encoder. Although the algorithm is geared toward fixed-bit- rate storage media, the rules for bit rate control allow a good deal of variation in the number of bits allocated to each picture. In addition, the allocation of bits within a picture is subject to no rules whatsoever. One would like to design an encoder that optimizes visual quality of the decoded video sequence subject to these bit rate restrictions. However, this is difficult due to the elusive nature of a quantitative distortion measure for images and motion sequences that correlates well with human perception. This paper describes an MPEG encoder designed to produce good quality coded sequences for a wide range of video source characteristics and over a range of bit rates. The novel parts of the algorithm include a temporal bit allocation strategy, spatially adaptive quantization, and a bit rate control scheme.

Citation Download Citation

Eric Viscito and Cesar A. Gonzales "Video compression algorithm with adaptive bit allocation and quantization", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); https://doi.org/10.1117/12.50299

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available