Scene Change Detection Using Motion Vector Pattern Grouping
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Solution Overview
Problem
Existing scene-change detection technologies in image sequences often fail to accurately identify scene changes due to the complexity of motion patterns and variations in image changes, leading to inefficiencies in detecting significant changes amidst similar frames.
Innovation Solution
A scene-change detecting device and method that categorizes images into pattern groups based on motion vectors, using a motion-vector detecting unit, pattern categorizing unit, group-based image-change detecting unit, and group-based scene-change detecting unit to identify scene changes within each pattern group, incorporating weighting information and detection conditions specific to each pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion vectors are calculated for each block and compared with threshold to detect scene changes, then scene change detection can be performed, but detection accuracy deteriorates due to complex motion patterns and variations in image changes
Solution Approach 1:
The patent divides the image into multiple blocks and calculates motion vectors for each block. It then segments these motion vectors into different pattern groups (first pattern group for small motion vectors, second pattern group for large motion vectors) and applies different detection methods to each segment, improving overall detection accuracy for various motion patterns
Solution Approach 2:
The patent dynamically adjusts the scene change detection method based on the motion pattern. For the first pattern group (small motion vectors), it detects scene changes by comparing image changes between adjacent frames. For the second pattern group (large motion vectors), it detects scene changes by comparing motion vectors between adjacent frames, adapting the detection strategy to the specific motion characteristics
2Ease of manufacture
If simple threshold comparison is used for motion vectors, then detection process is simple, but detection accuracy deteriorates due to inability to distinguish different motion patterns
Solution Approach 1:
The patent segments motion vectors into different pattern groups based on their magnitude and applies different detection strategies to each segment, maintaining relative process simplicity while significantly improving detection accuracy for various motion patterns
Solution Approach 2:
The patent changes the detection parameter based on the motion pattern: for small motion vectors (first pattern group), it uses image change comparison; for large motion vectors (second pattern group), it uses motion vector comparison. This parameter adaptation improves accuracy without substantially complicating the process
Data Source
AI summary
An image processing device includes a motion-vector detecting unit that detects motion vectors between an image and another image at a plurality of positions on the image, the image being at least a part of a plurality of images making up an image sequence; a pattern categorizing unit that categorizes the images into pattern groups each indicating a predetermined motion pattern, on the basis of the plurality of the motion vectors detected in the image; a group-based image-change detecting unit that detects, in each of the pattern groups, an image change between the images in the pattern group; and a group-based scene-change detecting unit that detects scene change in each of the pattern groups on the basis of the image change between the images in the pattern group.