Video Information Insertion via Inclination Matching
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Solution Overview
Problem
Current multimedia information insertion in video frames is inefficient and lacks intelligence, requiring manual selection of multimedia elements which is time-consuming and labor-intensive, especially when inserting advertisements into video content.
Innovation Solution
An information insertion method that acquires background and foreground inclination information to calculate inclination differences, automatically determining and inserting target multimedia information that matches the video frame's surface orientation, thereby enhancing the adaptation and efficiency of multimedia insertion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual selection and determination of target multimedia information is performed by staff members, then the degree of adaptation between multimedia information and preset insertion entity can be improved, but the productivity and efficiency of the insertion process deteriorates due to time-consuming manual operations
Solution Approach 1:
The system performs automatic inclination matching where the computer automatically acquires background inclination information from the video frame, compares it with foreground inclination information of candidate multimedia elements, and determines the target multimedia information without human intervention. This self-service automation resolves the contradiction by eliminating manual operations while maintaining adaptation quality through algorithmic inclination comparison.
Solution Approach 2:
The manual mechanical process of staff members visually determining and selecting multimedia information is replaced by an automated computational system that uses inclination information acquisition and comparison algorithms. This substitution transforms the manual selection process into an automated image processing and data comparison task, improving efficiency while preserving adaptation accuracy.
2Manufacturing precision
If manual picture determining and selecting is performed to find target multimedia information with highest degree of adaptation, then the quality of multimedia insertion is improved, but the complexity of the insertion process increases due to manual intervention requirements
Solution Approach 1:
The complex manual decision-making process is extracted and replaced by a dedicated automated module that specifically handles inclination information acquisition and comparison. By isolating this function into a specialized automated component, the overall process complexity is reduced while maintaining insertion quality through focused algorithmic processing of inclination data.
Solution Approach 2:
The system transforms the subjective quality assessment performed manually into an objective parameter-based comparison using inclination information. By changing from qualitative manual judgment to quantitative parameter comparison (inclination angles and differences), the process becomes more systematic and less complex, while ensuring consistent insertion quality through measurable criteria.
3Adaptability or versatility
If multiple pieces of multimedia information are separately inserted into preset insertion entity, then the adaptability of multimedia information to different video frames is improved, but the time required for the insertion process increases
Solution Approach 1:
The system performs preliminary acquisition of inclination information for multiple candidate multimedia elements before the actual insertion decision. By pre-processing and storing inclination data for all candidate elements, the system enables rapid comparison and selection during the insertion process, maintaining adaptability across multiple candidates while reducing the time required for final selection and insertion execution.
Data Source
AI summary
An information insertion method is provided. In the method, background inclination information of a preset entity in a video frame to be inserted with information is acquired. The background inclination information is of a bearing surface of the preset entity in the video frame. At least one piece of foreground inclination information corresponding to at least one piece of multimedia information is acquired. An inclination difference between the background inclination information and each of the at least one piece of foreground inclination information is acquired, to obtain at least one piece of inclination difference information. Target multimedia information that meets an inclination difference condition is determined from the at least one piece of multimedia information according to the at least one piece of inclination difference information. The target multimedia information is inserted onto the bearing surface of the preset entity of the video frame to obtain a target video frame.