Contextual Video Adaptation for Device Constraints
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Solution Overview
Problem
Video content generated for specific presentation formats often fails to provide an optimal experience on different devices due to factors like screen size and battery limitations, leading to poor viewing quality and limited display time.
Innovation Solution
A system for contextual video content adaptation that determines target adaptations based on device type, viewing conditions, and network conditions, allowing for temporal and spatial modifications such as shortening content length or cropping frames, to generate an adapted version suitable for various devices and scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video content is generated for large screen presentation (movie theatres or widescreen televisions), then the content provides optimal viewing experience on large screens, but the content quality deteriorates when presented on smaller displays such as video-enabled watches
Solution Approach 1:
The system changes video content parameters (resolution, aspect ratio, frame rate, bitrate) based on the target device characteristics. Video content is encoded with multiple resolution versions and metadata that describe the content, allowing the playback device to select and adapt the appropriate parameters for its specific display capabilities and viewing conditions.
Solution Approach 2:
Video content is pre-encoded with multiple resolution versions and embedded with metadata describing the content characteristics before distribution. This preliminary preparation enables devices to select the appropriate version without requiring real-time transcoding, thus maintaining quality while ensuring adaptability across different devices.
2Ease of operation
If video content is presented on devices with battery power limitations (such as video-enabled watches), then the device can portably display content, but the display time is significantly reduced compared to PC or television
Solution Approach 1:
The system adjusts video playback parameters including frame rate, resolution, and bitrate based on the device's battery capacity and power consumption characteristics. Mobile devices with limited battery life receive optimized content with lower power requirements, extending display time while maintaining acceptable quality.
Solution Approach 2:
The video playback system dynamically adjusts content delivery parameters based on real-time monitoring of battery status and power consumption. As battery level decreases, the system automatically reduces video quality parameters to extend playback duration, providing adaptive optimization throughout the device's operational lifecycle.
3Adaptability or versatility
If video content is adapted for multiple device types and viewing conditions, then the content becomes more versatile across different platforms, but the complexity of the content delivery system increases
Solution Approach 1:
Video content is pre-encoded into multiple resolution versions with embedded metadata during the production phase. This preliminary action eliminates the need for complex real-time transcoding systems at the playback device, reducing system complexity while maintaining multi-device compatibility.
Solution Approach 2:
The system creates multiple copies of video content at different resolutions and encodings, storing them alongside the original. The playback device selects the appropriate copy based on its capabilities, avoiding the need for complex transformation operations and simplifying the content delivery architecture.
4Adaptability or versatility
If video content is shortened or cropped to fit smaller screens and shorter viewing sessions, then the content becomes suitable for mobile devices, but the original content integrity and completeness are compromised
Solution Approach 1:
Video content is segmented into multiple resolution versions, each containing the complete original content. The mobile device receives an appropriate resolution version that maintains full content integrity while being optimized for its display capabilities, avoiding any loss of information through selective cropping or truncation.
Data Source
AI summary
Methods and apparatus for contextual video content adaptation are disclosed. Video content is adapted based on any number of criteria such as a target device type, viewing conditions, network conditions or various use cases, for example. A target adaptation of content may be defined for a specified video source. For example, based on receiving a request from a portable device for a live sports feed, a shortened and reduced resolution version of the live sport feed video may be defined for the portable device. The source content may be accessed and adapted (e.g., adapted temporally, spatially, etc.) and an adapted version of content generated. For example, the source content may be cropped to a particular spatial region of interest and/or reduced in length to a particular scene. The generated adaptation may be transmitted to a device in response to the request, or stored to a storage device.