DCT-Guided Video Frame Dropping for Commercial Duration Compliance
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Solution Overview
Problem
Existing video transmission standards require commercials to include moments of blank/black video and silent audio to facilitate smooth channel tuning, but many advertisers provide commercials lacking these, making it difficult to fit within the allotted time in a commercial break.
Innovation Solution
A method to manage video content by selectively dropping frames based on scene change values, using Discrete Cosine Transform (DCT) coefficients to identify frames for removal, ensuring minimal disruption and allowing for the insertion of silent audio and black video at the beginning and end of commercials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If moments of blank/black video and silent audio are added to commercials to comply with transmission standards, then channel tuning smoothness is improved, but commercial duration is extended making it difficult to fit within allotted time
Solution Approach 1:
The patent extracts and removes specific frames from the commercial video sequence that correspond to the blank/black video and silent audio moments. By identifying and eliminating these frames through frame rate conversion and selective frame dropping, the system compliance with transmission standards while maintaining the original commercial duration and fitting within the allotted time slot.
2Duration of action of moving object
If frames are dropped from video content to reduce commercial duration, then time allocation is improved, but video quality and viewing experience may deteriorate
Solution Approach 1:
The patent applies local quality by selectively dropping frames based on their visual importance. Scene change detection algorithms identify frames that represent significant visual transitions, and these high-importance frames are preserved while less important frames are dropped. This localized quality preservation ensures that critical visual information remains intact while achieving the required duration reduction.
Solution Approach 2:
The system performs preliminary analysis of the video content before frame dropping by detecting scene changes and identifying important frames. This advance preparation allows the system to make informed decisions about which frames to remove, ensuring that quality is maintained in critical areas while achieving the desired duration reduction.
Data Source
AI summary
The disclosure relates to a method of processing a sequence of image frames to reduce its length. One implementation may involve extracting coefficients (e.g., Discrete Cosine Transform coefficients) from components of individual frames, and comparing the resulting coefficients for sequential frames to identify frames having the least change from a prior frame. Also, scene change values for each frame may be calculated and placed in a sorted list to facilitate identification of frames for removal. Frame removal may be conducted in rounds, where a group of pictures (GOP) may only have one frame removed for any given round.