SCENE CHANGE DETECTION USING SUM OF VARIANCE AND ESTIMATED PICTURE ENCODING COST

摘要

A video processing device includes a complexity estimation module to determine a first sum of variances metric and a first estimated picture encoding cost metric for a first picture of a video stream. The video processing device further includes a scene analysis module to determine a first threshold based on a first statistical feature for sum of variance metrics of a set of one or more pictures preceding the first picture in the video stream and a second threshold based on a second statistical feature for estimated picture encoding cost metrics of the set of one or more pictures. The scene analysis module further is to identify a scene change as occurring at the first picture based on the first sum of variances metric, the first estimated picture encoding cost metric, the first threshold, and the second threshold.

主权项

1. A method comprising:
determining, at a video processing device, a first sum of variances metric and a first estimated picture encoding cost metric for a first picture of a video stream; determining, at the video processing device, a first threshold based on a first statistical feature for sum of variance metrics of a set of one or more pictures preceding the first picture in the video stream and a second threshold based on a second statistical feature for estimated picture encoding cost metrics of the set of one or more pictures; and identifying, at the video processing device, a scene change as occurring at the first picture based on the first sum of variances metric, the first estimated picture encoding cost metric, the first threshold, and the second threshold.