Video Summary Image Generation via Object Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current multimedia searching and browsing systems face challenges in efficiently managing large amounts of multimedia data and quickly finding desired content, particularly in multimedia services like image and video services, due to limitations in summarizing and presenting complex video data effectively.
Innovation Solution
The system employs an image processing engine to track objects in video images, select representative frames based on specific conditions, and generate summary still images that include object segments, allowing for efficient browsing and metadata generation, along with the option to preview and reproduce object motion upon selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If video images are summarized into still images for browsing, then browsing efficiency is improved, but object overlap and information loss increase
Solution Approach 1:
The patent segments objects from video frames and arranges them as separate elements in the summary still image. Each detected object is extracted and positioned independently, allowing multiple objects to be displayed without overlap while maintaining their individual characteristics and reducing information loss during the summarization process.
Solution Approach 2:
The patent transitions from temporal dimension (video frames over time) to spatial dimension (objects arranged in a single still image). By extracting objects from their temporal sequence and repositioning them spatially in a composite image, the system preserves object information while enabling efficient visual browsing in a static format.
2Quantity of substance
If multiple objects are included in one summary image, then browsing comprehensiveness is improved, but object overlap increases
Solution Approach 1:
The patent divides the summary image into multiple regions, with each region containing a segmented object from the video. This segmentation allows multiple objects to be displayed in one image without overlap, as each object is positioned in its own designated space within the composite image structure.
Solution Approach 2:
The patent resolves object overlap by transitioning from the temporal arrangement (objects appearing sequentially in frames) to spatial arrangement (objects positioned simultaneously in different regions of the summary image). This dimensional transformation enables comprehensive display of multiple objects without their bounding boxes overlapping.
3Measurement precision
If representative frames are selected based on multiple conditions, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary object detection and tracking on video frames before the summarization process. By pre-identifying objects and their trajectories, the system establishes baseline information that simplifies subsequent frame selection, reducing the computational complexity of evaluating multiple selection conditions during the actual summarization phase.
Solution Approach 2:
The patent employs algorithms that automatically evaluate multiple selection conditions (object detection accuracy, trajectory completeness, frame quality metrics) and self-select the most representative frames without requiring complex external intervention. The system uses inherent video data characteristics to guide frame selection, reducing processing complexity while maintaining high selection accuracy.
Data Source
AI summary
Provided are a system and a method for browsing a summary image. The method includes: tracking at least one object included in an input video image including a plurality of image frames, by controlling an image processing engine; selecting a representative image frame of each of the at least one object from the image frames, by controlling the image processing engine; and generating at least one summary still image comprising at least one object segment extracted from the representative image frame of each of the at least one object, by controlling a browsing engine.