CONTENT-BASED CHARACTERIZATION OF VIDEO FRAME SEQUENCES

Patent №

US 7,302,004

Granted

2007-11-27

Filed 2005

Owner

Lab

AI components

1

vision

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11056030

A system and process for video characterization that facilitates video classification and retrieval, as well as motion detection, applications. This involves characterizing a video sequence with a gray scale image having pixel levels that reflect the intensity of motion associated with a corresponding region in the sequence of video frames. The intensity of motion is defined using any of three characterizing processes. Namely, a perceived motion energy spectrum (PMES) characterizing process that represents object-based motion intensity over the sequence of frames, a spatio-temporal entropy (STE) characterizing process that represents the intensity of motion based on color variation at each pixel location, a motion vector angle entropy (MVAE) characterizing process which represents the intensity of motion based on the variation of motion vector angles.

VisionG06V 20/40G06T 7/215H04N 19/503H04N 5/144H04N 5/145

AI classification

Vision1.00
AI hardware0.40
Machine learning0.34
Knowledge representation0.06
Evolutionary computation0.02
Speech0.00
Natural language0.00
Planning0.00
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