Scene-Based Media Transcoding with Adaptive Compression Profiles
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Solution Overview
Problem
Conventional transcoding methods apply uniform compression settings to entire media content, ignoring audio/visual differences between scenes, resulting in suboptimal compression quality and bit rates.
Innovation Solution
Identify and categorize scenes within media content based on thematic and cinematic characteristics, assigning specific compression profiles for each scene to optimize transcoding, allowing for varied bit rates and quality settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform compression settings are applied to entire media content, then the transcoding process is simple and fast, but the audio/visual quality and bit rate optimization are suboptimal
Solution Approach 1:
The patent divides the media content into multiple scenes based on thematic and cinematic characteristics. Each scene is then transcoded independently with its own compression profile, allowing different compression settings for different scenes. This segmentation enables optimized audio/visual quality for each scene while maintaining manageable process complexity through automated scene detection and profile assignment.
Solution Approach 2:
The patent applies different compression profiles to different scenes based on their specific characteristics. Each scene receives localized compression settings optimized for its content type (e.g., animated vs. live action, dialogue-heavy vs. action sequences), rather than applying a uniform compression setting to the entire media content. This local quality approach maximizes audio/visual quality for each scene's specific requirements.
2Manufacturing precision
If scene-based compression profiles are applied to optimize transcoding, then audio/visual quality and bit rate optimization improve, but the transcoding process complexity increases
Solution Approach 1:
The patent performs preliminary scene identification and categorization before the actual transcoding process. Scene boundaries are detected and compression profiles are assigned to each scene in advance, creating a preparation phase that simplifies the subsequent transcoding operations. This preliminary action separates the complexity of scene analysis from the compression process, making the overall system more manageable.
Solution Approach 2:
The patent changes compression parameters (bit rate, quality settings, codec settings) based on scene characteristics. Different compression profiles with varying parameters are applied to different scenes, allowing optimization of compression quality for each scene type while systematically managing the complexity through parameter variation rather than process restructuring.
3Quantity of substance
If different compression profiles are assigned to different scenes, then bit rate optimization improves, but the processing time and computational resources increase
Solution Approach 1:
The patent segments the media content into scenes and processes each scene with its optimized compression profile. This segmentation allows for more efficient bit rate allocation across different scene types, assigning higher bit rates to complex scenes and lower bit rates to simpler scenes, thereby improving overall bit rate efficiency. The segmented approach enables parallel processing of multiple scenes, reducing total transcoding time.
Solution Approach 2:
The patent applies compression optimization selectively to scenes where it provides the most benefit, rather than uniformly optimizing all scenes. By identifying and applying enhanced compression profiles only to scenes that require them (based on their characteristics), the system achieves improved bit rate efficiency without unnecessarily increasing processing time for all content.
4Adaptability or versatility
If automated scene identification is performed, then the system can automatically assign appropriate compression profiles, but the complexity of scene analysis increases
Solution Approach 1:
The patent analyzes visual characteristics of scenes (including color patterns, luminance variations, and visual complexity) to automatically identify and categorize scenes. These visual feature detections serve as proxies for more complex thematic and cinematic characteristic analysis, enabling automated compression profile assignment without requiring sophisticated scene understanding algorithms.
Solution Approach 2:
The patent uses reference compression profiles that have been pre-configured for different scene types. Instead of creating entirely new compression settings for each scene, the system copies and applies appropriate pre-defined profiles based on detected scene characteristics. This copying approach simplifies the complexity of scene analysis by matching scenes to existing templates rather than generating unique configurations.
Data Source
AI summary
Systems and methods are provided for transcoding media content in accordance with thematic and/or cinematic characteristics of scenes. In particular, compression techniques may be selected to optimize compression of scenes based on their thematic and/cinematic characteristics. Scene boundary identifiers, such as scene in and out points may be identified, and the corresponding thematic and/or cinematic characteristic meta-data can be sent to a transcoder for transcoding. In this way, the specific characteristics of each scene in a movie can be accounted for during transcoding. This can result in transcoded versions of the movie that have better audio/visual qualities, and that can be encoded at a lower overall bit rate.