Dynamic 3D Depth Adjustment for Stereo Video Additive Objects
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Solution Overview
Problem
Current stereo video systems cause eye fatigue due to fixed and low 3D depth of additive objects like subtitles, which differ significantly from the dynamic 3D depth of primary image objects, requiring continuous focal length adjustments to maintain clear vision.
Innovation Solution
A method and apparatus that detect the 3D depth of primary objects in stereo video signals by performing block matching on left-eye and right-eye frames to calculate motion vectors, allowing for dynamic adjustment of additive object depth to match the primary object's depth, thereby reducing eye strain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the 3D depth of additive objects (e.g., subtitles) is kept fixed at a low value, then the additive objects remain clearly visible and readable, but the focal length must be continuously adjusted when the primary image object's depth changes, causing eye fatigue
Solution Approach 1:
The patent applies dynamics by making the 3D depth of additive objects dynamically adjustable rather than fixed. The system detects the depth of primary image objects and automatically adjusts the depth of additive objects to match, allowing the depth parameter to change dynamically with the content while maintaining readability and reducing eye fatigue
Solution Approach 2:
The patent changes the depth parameter of additive objects based on detected primary object depth. By modifying the Z-depth parameter of subtitles and other additive elements to match the primary image content, the system maintains visual comfort while preserving text readability across different scene depths
2Object-affected harmful factors
If the 3D depth of additive objects is increased to match primary objects, then eye fatigue is reduced, but the additive objects may become less distinct or readable
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different objects in the scene. Primary image objects maintain their original depth characteristics for realistic visualization, while additive objects are specifically adjusted to a matched depth plane, creating different depth qualities for different object types to simultaneously achieve comfort and readability
3Adaptability or versatility
If block matching and motion vector calculation are performed to detect 3D depth, then dynamic depth adjustment is achieved, but the processing complexity and computational load increase
Solution Approach 1:
The patent applies self-service by using the existing stereo video signal structure and standard block matching algorithms already present in video processing systems. The system leverages available left-eye and right-eye frame data to automatically detect depth without requiring external sensors or complex additional processing, making the depth detection self-contained within the video processing pipeline
Data Source
AI summary
A method for adjusting three-dimensional (3D) depth including performing block matching on left-eye/right-eye frames of a stereo video signal to generate a motion vector of a specific object and to obtain 3D depth of the specific object; and adjusting 3D depth of an additive object according to that of the specific object, wherein the additive object is one of a subtitle object, an on screen display (OSD) object or a program guide object.