Panoramic Video Face Normalization for Standard Conferencing
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Solution Overview
Problem
Panoramic images with 360° coverage are not compatible with standard video conferencing systems, leading to issues such as faces appearing too small when resized or a significant portion of the display being unused when cropped, resulting in an unsatisfactory user experience.
Innovation Solution
The panoramic image is normalized to ensure face sizes appear consistent, and then resized and embedded in a standard resolution video stream, with features like automatic speaker detection and user-controlled highlighting to optimize display usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the panoramic image is resized to fit in a standard video stream, then the compatibility with standard video conferencing systems is improved, but the face sizes become too small to be practically useful
Solution Approach 1:
The panoramic image is divided into multiple standard-resolution video frames by identifying and extracting multiple face regions. Each face is detected, cropped, and placed into separate video frames, allowing multiple faces to be displayed at appropriate sizes within the standard video stream format.
Solution Approach 2:
The solution transitions from displaying a single panoramic view to creating multiple video frames that can be arranged in different spatial configurations (e.g., grid layout). This dimensional transformation allows multiple faces from the panorama to be presented at optimized sizes across multiple frames rather than forcing all faces into a single small frame.
2Manufacturing precision
If the panoramic image is cropped to fit in a standard video window, then the face sizes remain recognizable, but a majority of the display is unused
Solution Approach 1:
Instead of cropping a single portion of the panorama, the image is segmented into multiple face regions that are then distributed across multiple video frames. This segmentation allows the entire display area to be utilized by arranging multiple frames in a grid or other spatial configuration, eliminating unused display space while maintaining recognizable face sizes.
Solution Approach 2:
Multiple cropped face regions from the panoramic image are merged into a composite video stream by placing them in separate video frames that are then combined. This merging approach fills the entire display area with useful content (multiple faces at proper sizes) rather than leaving large portions unused.
3Adaptability or versatility
If the panoramic image is transmitted in standard resolution, then the compatibility is improved, but the user experience deteriorates due to loss of detail
Solution Approach 1:
Instead of transmitting the entire high-resolution panoramic image in standard resolution (which would lose detail), the system creates multiple standard-resolution copies of specific face regions. Each face is copied from the panorama at its original high resolution, then placed into a standard-resolution video frame, preserving face detail while maintaining compatibility.
Solution Approach 2:
The solution extracts only the relevant face regions from the panoramic image rather than transmitting the entire panorama in reduced resolution. By taking out and isolating the important face areas, the system preserves their detail quality while fitting them into standard video frames, avoiding the information loss that would occur with full-panorama downsampling.
Data Source
AI summary
Techniques are described for embedding a panoramic image in standard resolution. A panoramic image is received from a panoramic camera and a location of a speaker is determined, either automatically or manually. A portion of the panoramic image is cropped to isolate the speaker and the cropped portion of the image is enlarged to standard video resolution. The panoramic image is combined with the cropped portion and transmitted via a standard video streaming format. In at least one implementation, the panoramic image is normalized so that face sizes of persons in the image appear approximately equal regardless of the distance each person is situated relative to the camera.


