Virtual Camera Control for Video Region of Interest Tracking
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Solution Overview
Problem
Viewing high-definition or panoramic videos on small screen devices results in loss of detail due to mismatched screen dimensions and video frame dimensions, with traditional pinch-to-zoom features being inadequate when objects of interest are rapidly moving, leading to a poor viewing experience.
Innovation Solution
A method and computing device that performs virtual camera functions by automatically zooming-in, zooming-out, and panning a selected region of interest during video playback, using a virtual camera control module to represent the region of interest as an ensemble of hypotheses and adjust the viewport accordingly to maintain focus on objects of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If high-definition video is viewed on small screen devices, then the video can be displayed on portable devices, but the display detail is lost due to scaling down
Solution Approach 1:
The video frame is segmented into multiple regions of interest (ROIs) that can be independently processed and displayed. This allows the system to focus computational resources on identifying and displaying important regions at full resolution, rather than uniformly scaling the entire frame, thereby preserving detail in critical areas while maintaining compatibility with small screens.
Solution Approach 2:
The patent introduces a virtual camera dimension that operates independently from the physical screen constraints. By creating a virtual viewing space where zooming and panning can occur, the system allows users to access detailed views of ROIs without being limited by the physical screen size, effectively adding a dimensional layer to overcome the scaling problem.
2Loss of information
If traditional pinch-to-zoom features are used to maintain focus on objects of interest, then some detail can be preserved, but excessive user interactions are required which defeats the purpose of pleasant viewing experience
Solution Approach 1:
The system performs automatic ROI identification, tracking, and virtual camera operations without requiring user initiation. The virtual camera module autonomously detects objects of interest, determines their trajectories, and executes zoom/pan operations to keep them in focus, making the system self-sufficient and eliminating the need for continuous user interaction.
Solution Approach 2:
The system continuously monitors video content to detect objects of interest and their motion trajectories. This feedback loop allows the virtual camera to dynamically adjust its zoom and pan operations in real-time, automatically adapting to moving objects and maintaining focus without user intervention, thereby preserving detail while ensuring ease of operation.
3Ease of operation
If virtual camera functions are implemented to automatically track objects of interest, then viewing experience is improved, but computational complexity increases
Solution Approach 1:
The system performs preliminary detection and classification of potential ROIs in advance of detailed tracking. By pre-identifying candidate regions and their likely trajectories, the system reduces the computational burden of continuous real-time tracking, allowing virtual camera operations to run efficiently with lower processing requirements while maintaining improved viewing experience.
Data Source
AI summary
A method and computing device are provided for performing virtual camera functions during playback of media content. In the method, the computing device selects a region of interest (RoI) during a playback of media content, and represents the RoI as an ensemble of disparate hypotheses. Then the computing device identifies the RoI in a frame sequence sampled according to the hypotheses, performs a virtual camera action on the identified RoI, and plays the RoI with a virtual camera.