Video Synopsis System Using Spatial-Mosaic Event Shifting
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Solution Overview
Problem
Existing video abstraction methods fail to efficiently create a compact, dynamic video synopsis that maintains scene dynamics and reduces spatio-temporal redundancy, often relying on exponential complexity algorithms and focusing on static key frames rather than dynamic events across different time intervals.
Innovation Solution
The method transforms a source video sequence into a synopsis by shifting events from their original time interval to another when no other activity occurs at the same spatial location, using Markov Random Fields and energy minimization to create a video that expresses scene dynamics with reduced redundancy, and allows multiple dynamic appearances of a single object without spatial overlap.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If entire frames are used as fundamental building blocks for video synopsis, then the synopsis maintains temporal structure, but the redundancy and length of the synopsis increase
Solution Approach 1:
The patent segments video frames into smaller spatial regions (blocks) and temporal segments, allowing independent processing and selection of only the necessary portions rather than using entire frames. This segmentation enables the synopsis to capture essential dynamics while reducing redundant temporal information.
Solution Approach 2:
The patent introduces a spatial dimension to the synopsis construction by creating a mosaic of video blocks arranged in a two-dimensional grid. This spatial arrangement allows multiple temporal segments to be displayed simultaneously in different spatial locations, reducing the need for sequential temporal playback.
2Loss of time
If key frame selection methods are used for video abstraction, then the synopsis is compact, but scene dynamics and temporal relationships are lost
Solution Approach 1:
The patent creates a dynamic synopsis by allowing objects to appear multiple times at different spatial locations and temporal segments within the same synopsis frame. This dynamic representation maintains scene movements and temporal relationships while achieving compactness through spatial-mosaic arrangement.
Solution Approach 2:
The patent embeds multiple temporal segments and spatial regions within a single synopsis frame structure. Nested within each synopsis pixel are references to multiple original video frames and blocks, allowing the synopsis to contain multiple layers of temporal and spatial information simultaneously.
3Loss of information
If exponential complexity algorithms are used for video synopsis, then the synopsis can capture comprehensive content, but computational efficiency decreases
Solution Approach 1:
The patent divides the video into discrete blocks and segments, which can be independently processed and combined. This segmentation transforms the exponential complexity problem into a manageable optimization problem where only the most relevant blocks need to be selected and arranged in the spatial mosaic.
Solution Approach 2:
The patent changes the parameters of the synopsis construction by using a spatial-mosaic arrangement with adjustable block sizes and temporal segmentations. This allows the system to optimize the balance between content completeness and computational efficiency by tuning these parameters rather than using fixed exponential algorithms.
4Ease of manufacture
If static key frames are used instead of dynamic events, then the synopsis is easier to generate, but the representation of video content becomes less effective
Solution Approach 1:
The patent extends the static key frame approach by allowing dynamic placement of video blocks at different spatial locations within the synopsis. This dynamic arrangement maintains ease of generation through automated block selection while significantly improving content representation by capturing object movements and temporal sequences.
Solution Approach 2:
The patent creates a synopsis by copying and rearranging video blocks from the original video sequence into a new spatial-mosaic structure. This copying process preserves the essential visual information and dynamics while transforming the temporal structure into a compact spatial representation that is easier to generate and process.
Data Source
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AI summary
A computer-implemented method and system transforms a first sequence of video frames of a first dynamic scene to a second sequence of at least two video frames depicting a second dynamic scene. A subset of video frames in the first sequence is obtained that show movement of at least one object having a plurality of pixels located at respective x, y coordinates and portions from the subset are selected that show non-spatially overlapping appearances of the at least one object in the first dynamic scene. The portions are copied from at least three different input frames to at least two successive frames of the second sequence without changing the respective x, y coordinates of the pixels in the object and such that at least one of the frames of the second sequence contains at least two portions that appear at different frames in the first sequence.