Object-Tracked Video Zoom With Time-Delayed PIP Windows
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video technologies lack the ability to dynamically track and zoom in on user-selected objects within video content, providing a personalized and interactive viewing experience.
Innovation Solution
A system and method for client-side object tracking and zooming, allowing users to select arbitrary objects for tracking and zooming, using object recognition and metadata to determine positional data, and displaying an enlarged picture-in-picture (PIP) window that can be fixed or floating based on the object's location, with features like merging and unmerging windows, time-delay zoom, and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If object tracking and zooming is implemented to provide personalized viewing experience, then user interaction and viewing experience are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary object recognition and tracking setup before the user needs to interact with tracked objects. Metadata is pre-processed to identify objects of interest, and tracking algorithms are initialized in advance, reducing the computational burden during actual user interaction and viewings.
Solution Approach 2:
The patent introduces an intermediary processing layer between the video content and the display device. This intermediary system handles object recognition, tracking, and PIP generation, shielding the user from the complexity of these operations while enabling sophisticated interaction capabilities.
2Adaptability or versatility
If multiple objects are tracked simultaneously with floating PIP windows, then viewing experience is enhanced, but computational load and processing time increase
Solution Approach 1:
The video content is segmented into multiple independent tracking streams, each handling a specific object. This allows parallel processing of multiple objects without interfering with each other, reducing overall processing time while maintaining the capability to track multiple objects simultaneously with floating PIP windows.
Solution Approach 2:
The system implements partial tracking by focusing computational resources on only the most relevant objects or regions of interest within the video frame. Not all objects are tracked with equal detail, allowing multiple objects to be monitored while reducing the computational load for less critical tracking tasks.
3Adaptability or versatility
If client-side object recognition is performed to enable arbitrary object selection, then user control and customization are improved, but processing power and energy consumption increase
Solution Approach 1:
The patent extracts and utilizes metadata from the video content that contains pre-identified object information. By taking advantage of this pre-processed data, the system reduces the need for full client-side object recognition, thereby lowering energy consumption while still enabling arbitrary object selection and user control.
Solution Approach 2:
The system is designed to work with multiple types of input data including metadata, direct client-side recognition results, and hybrid approaches. This multi-functionality allows the system to adapt its processing intensity based on available resources, enabling user control with variable energy consumption levels.
Data Source
AI summary
Systems, methods, and instrumentalities are disclosed for dynamic picture-in-picture (PIP) by a client. The client may reside on any device. The client may receive video content from a server, and identify an object within the video content using at least one of object recognition or metadata. The metadata may include information that indicates a location of an object within a frame of the video content. The client may receive a selection of the object by a user, and determine positional data of the object across frames of the video content using at least one of object recognition or metadata. The client may display an enlarged and time-delayed version of the object within a PIP window across the frames of the video content. Alternatively or additionally, the location of the PIP window within each frame may be fixed or may be based on the location of the object within each frame.