Method for dominant color extraction

Abstract

Extracts and processes video content encoded in a shaded color space for emission simulation by ambient light sources, including extracting primary color information from the video signal and using a three-color primary matrix, transforming the color information through an unshaded color space to form a secondary colorization Color space is used for ambient distribution. The steps include quantizing the shading color space to form a specified color distribution, such as by reducing possible color states, or storing to form superpixels; selecting dominant colors using modes, averages, medians, or weighted averages of pixel chromaticities. The colors of interest can be further analyzed to generate the actual dominant colors, and the previous video frame can be used to guide the choice of dominant colors in subsequent frames.

Description

technical field [0001] The present invention relates to the use of multiple light sources to generate and set ambient light effects, typically based on, or in conjunction with, eg video content from a video display. More particularly, it relates to a method of sampling or subsampling video content in real-time to extract dominant color information, and performing a color mapping conversion from the color space of the video content to a color space that preferably allows driving multiple ambient light sources. Background technique [0002] Engineers have been exploring for a long time to expand the sensory experience by sampling video content, such as expanding the viewing screen and projection area, modulating the sound into a true 3D effect, and improving the video image, including a wide video color gamut, resolution High-definition (HD) digital television and video systems, for example. Moreover, film, television and video players also attempt to use visual and auditory ...

AI Technical Summary

Problems solved by technology

For example, light sent from LED ambient light sources is often harsh and has a limited or skewed color gamut—often, hue and chromaticity are difficult to evaluate and reproduce

For example, U.S. Patent 6,611,297 to Akashi et al. deals with the realism of ambient light, but provides no special method to ensure correct and satisfactory chromaticity, and Akashi's 297 patent does not allow real-time analysis of video, but requires script or its equivalent

[0025] Additionally, settings for ambient light sources that utilize the gamma of the corrected video content color space often result in dazzling and bright colors

Another serious problem with the prior art is the need to convert the large amount of information used to drive the ambient light source as a function of the real-time video content to the expected rapidly changing ambient light environment where good color matching is desired

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