Share Email Print
cover

Proceedings Paper

Color quantizer for video sequences
Author(s): Daniel C. Kusswurm
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A new algorithm that color quantizes video sequences is described. It creates multiple color palettes for a video sequence yet avoids the extreme case of creating a palette for each frame. It exploits the fact that there are many instances during a video sequence where minor color changes occur between consecutive frames. The algorithm calculates elementary statistics for each frame to help ascertain whether or not a new color palette needs to be created. The proposed algorithm performs clustering by grouping the colors of a frame into partitions using a method based on principal components. Prior to clustering, a statistical test determines whether or not the colors in the current frame are significantly different than those of the frame where clustering last occurred. If the algorithm detects a significant difference, it performs a clustering phase to calculate a new color palette. The algorithm skips the clustering phase if a significant difference is not detected. Quantized frames are generated by mapping each color in the original frame to its nearest neighbor in the color palette.

Paper Details

Date Published: 1 April 1998
PDF: 9 pages
Proc. SPIE 3308, Very High Resolution and Quality Imaging III, (1 April 1998); doi: 10.1117/12.302432
Show Author Affiliations
Daniel C. Kusswurm, DePaul Univ. (United States)


Published in SPIE Proceedings Vol. 3308:
Very High Resolution and Quality Imaging III
V. Ralph Algazi; Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top