Vehicle Image Encoding with Sound-Directed Regions of Interest
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Solution Overview
Problem
Existing image recording technologies, such as those described in Patent Literature 1, do not dynamically set regions of interest based on the direction of arrival of sound, leading to inefficient use of image quality and capacity in recording accident scenes or areas of abnormality.
Innovation Solution
An image recording apparatus that includes a sound acquisition unit, a sound direction detection unit, a region of interest setting unit, and an image encoding unit to dynamically set a region of interest or image of interest based on the detected direction of sound arrival, applying different encoding processes to enhance image quality in relevant areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a preset region of interest is used for encoding, then the image quality of the region can be increased, but the region cannot be dynamically adjusted to match the actual accident scene location
Solution Approach 1:
The patent applies dynamics by transitioning from a static preset region of interest to a dynamic region that is automatically adjusted based on sound direction detection. The region of interest is no longer fixed but adapts in real-time to the location of abnormal sounds, allowing the encoding system to focus on the actual accident scene regardless of its position in the captured image.
Solution Approach 2:
The patent implements feedback by using sound direction detection results to control the region of interest setting. The sound acquisition unit and sound direction detection unit provide continuous feedback about the location of abnormal sounds, which then feeds back to the region of interest setting unit to dynamically adjust the encoding parameters and focus the high-quality recording on the appropriate area.
2Measurement precision
If the entire image is recorded at high quality, then all areas are captured clearly, but the file capacity increases unnecessarily
Solution Approach 1:
The patent applies local quality by implementing differential encoding where different regions of the image receive different encoding treatments. The region of interest identified through sound direction detection is encoded at high quality to ensure clear recording of the accident scene, while other regions are encoded at lower quality to reduce the overall file capacity. This localized approach ensures high quality where needed without wasting resources throughout the entire image.
3Device complexity
If a fixed region of interest is used, then the encoding process is simple, but the system cannot respond to dynamic changes in the accident scene
Solution Approach 1:
The patent applies preliminary action by continuously monitoring the environment through the sound acquisition unit and sound direction detection unit before encoding occurs. When an abnormal sound is detected, the system has already identified the relevant region through preliminary sound direction analysis, allowing the region of interest setting unit to pre-determine the appropriate encoding parameters before the actual encoding process begins.
Data Source
AI summary
Provided are an image recording apparatus and the like that can detect a direction of arrival of sound around a vehicle and dynamically set a region corresponding to the detected direction of arrival of the sound as a region of interest.An image recording apparatus includes: an image acquisition unit that acquires an image capturing the periphery of a vehicle; a sound acquisition unit that acquires sound of the periphery of the vehicle; a sound direction detection unit that detects a direction of arrival of the sound; a region of interest setting unit that sets a region corresponding to the direction of arrival of the sound in the image as a region of interest; and an image encoding unit that performs first encoding processing on the region of interest in the image and perform second encoding processing on a region other than the region of interest in the image.


