Condensing Video Frames for Scene Transition Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video analysis systems struggle to efficiently navigate and identify scene transitions within long video sequences, leading to user disorientation and difficulty in locating specific frames or segments.
Innovation Solution
The system transforms video into a condensed visual representation by reducing each frame into a one-dimensional representation, where visual properties are aggregated and aligned according to frame order, allowing for easier navigation and scene transition identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video frames are displayed in full resolution to maintain visual quality, then image clarity is improved, but navigation efficiency deteriorates due to the large amount of information
Solution Approach 1:
The patent divides each video frame into multiple blocks and further segments the visual information into different components (color, luminance, detail). This segmentation allows the system to process and display only essential visual features in the condensed representation, maintaining key visual quality while reducing overall information volume for faster navigation.
Solution Approach 2:
The patent extracts only the most essential visual properties from each frame (such as average color, luminance, and key feature points) to create the condensed representation. By taking out only the necessary visual information rather than displaying full frames, the system achieves both navigation efficiency and preserved visual quality for scene transition identification.
2Ease of operation
If video sequences are condensed to improve navigation efficiency, then ease of operation is improved, but loss of information increases
Solution Approach 1:
The patent applies different levels of condensation to different regions of the video sequence. Scene transition areas are preserved with higher visual fidelity using techniques like edge detection and feature point preservation, while stable regions are more aggressively condensed. This local quality approach ensures that critical visual information is retained where needed while maintaining overall navigation efficiency.
Solution Approach 2:
The patent transforms visual information from spatial domain to feature domain by changing parameters such as color histograms, luminance distributions, and texture descriptors. This parameter transformation allows the condensed representation to capture essential visual characteristics using fewer data points, reducing information loss while improving navigation efficiency.
3Measurement precision
If detailed frame analysis is performed to maintain measurement precision, then scene transition detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary analysis by pre-processing video frames to extract and store key visual features (color profiles, luminance patterns, edge maps) before actual scene transition detection. This preliminary action creates a condensed representation that can be quickly analyzed for scene transitions without requiring full frame processing, thus maintaining detection accuracy while reducing processing time.
Solution Approach 2:
The patent replaces traditional mechanical frame-by-frame comparison methods with algorithmic feature-based analysis. By substituting full image processing with computational analysis of extracted visual parameters and features, the system achieves high scene transition detection accuracy with significantly reduced processing time.
Data Source
AI summary
Systems and procedures for transforming video into a condensed visual representation. An example procedure may include receiving video comprised of a plurality of frames. For each frame, the example procedure may create a first representation, reduced in one dimension, wherein a visual property of each pixel of the first representation is assigned by aggregating a visual property of the pixels of the frame having the same position in the unreduced dimension. The example procedure may further form a condensed visual representation including the first representations aligned along the reduced dimension according to an order of the frames in the video.