Video Processing System for Format Adaptation
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Solution Overview
Problem
Many recorded videos are sub-optimal in presentation, lacking dynamic appeal due to inadequate rendering of features like objects, persons, and patterns, especially when displayed on different devices with varying formats.
Innovation Solution
A system and method for processing video sequences by detecting and weighting features, applying imaging processes, and merging frames to emphasize key features, allowing for automatic transformation and enhancement of video sequences across different formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If videos are recorded in a first format and presented in a second format on different devices, then the video can be displayed on various devices with different screen formats, but the rendering quality deteriorates and the video presentation becomes sub-optimal
Solution Approach 1:
The system performs preliminary analysis of the video content to detect key features (objects, persons, patterns, texts) and determines the most appropriate imaging process combination before format transformation. This advance preparation ensures that the selected imaging process will maintain rendering quality when the video is transformed to different formats for various display devices.
Solution Approach 2:
The system changes parameters of the video presentation by selecting from multiple imaging processes (e.g., zooming, cropping, padding) and their combinations to adapt the video to different screen formats. By adjusting these parameters dynamically based on detected features, the system maintains optimal rendering quality across different device formats.
2Manufacturing precision
If manual processing is used to enhance video presentation, then the video quality can be improved, but the processing time and complexity increase
Solution Approach 1:
The system performs automatic video processing by autonomously detecting features in the video content, evaluating multiple imaging process combinations, and selecting the optimal processing sequence without manual intervention. This self-service capability maintains high presentation quality while eliminating the time and complexity associated with manual processing.
Solution Approach 2:
The system replaces manual mechanical processing with automated computational analysis. By using algorithms to detect features and evaluate imaging processes, the system substitutes human-operated mechanical adjustments with efficient computer-based processing, achieving both high quality and reduced processing time.
3Ease of operation
If features are emphasized through imaging processes, then the video becomes more appealing and dynamic, but the processing complexity increases
Solution Approach 1:
The system segments the video processing task into distinct stages: feature detection, imaging process selection, and feature emphasis application. By dividing the complex processing into manageable segments, the system can effectively emphasize features to improve video appeal while managing processing complexity through structured workflow.
Solution Approach 2:
The system applies different imaging processes to different regions of the video based on locally detected features. By identifying specific objects, persons, patterns, or texts and applying targeted emphasis to these local regions rather than uniform processing, the system enhances video appeal while optimizing processing efficiency.
Data Source
AI summary
A system, method and computer program for processing at least one video sequence are provided, e.g., for transforming a video sequence to a different format, wherein the at least one video sequence includes a plurality of time-successive image frames. The system is configured to provide a predetermined set of at least one feature, and associate a weighted value to each feature. The system is further configured to provide a predetermined 10 set of at least one imaging process, and to provide a processed video sequence in which the one or more imaging processes have been applied to the video sequence as a function of features detected in the video sequence.