Video Question Detection and Tagging for Search Relevance
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Solution Overview
Problem
Current video processing systems lack effective mechanisms for segmenting videos based on detected questions, leading to irrelevant search results when queries are specific to questions, as existing methods rely on speaker segmentation or scene recognition rather than question detection.
Innovation Solution
A media processing system that detects questions in the audio portion of a video bitstream, marks corresponding segments with tags, and facilitates navigation and searching by recombining processed audio and video portions, enabling efficient retrieval of relevant video segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speaker segmentation or scene recognition is used for video segmentation, then the video can be divided into segments, but the search results become irrelevant when queries are specific to questions
Solution Approach 1:
The video is segmented into multiple clips based on detected questions. The system identifies question boundaries in the audio portion and divides the video accordingly, creating question-specific segments that can be independently searched and retrieved, thereby improving search relevance without requiring complex overall video analysis
Solution Approach 2:
Question detection acts as an intermediary mechanism between the audio content and video segmentation. By detecting questions in the audio portion and using them as segmentation markers, the system bridges the gap between speech content and visual segments, enabling precise question-based search without complex direct video analysis
2Measurement precision
If question detection is implemented in video processing, then search accuracy improves, but processing complexity increases
Solution Approach 1:
The system extracts only the audio portion from the video bitstream for question detection, separating the question analysis task from the full video processing. This extraction allows focused question detection using simpler audio processing techniques while maintaining video segmentation capabilities
Solution Approach 2:
Question detection is performed preliminarily on the audio portion before video segmentation and rendering. By detecting questions in advance and marking their locations, the system prepares segmentation markers that guide subsequent video processing, reducing the complexity of real-time question-based video analysis
Data Source
AI summary
An example method is provided and includes receiving a video bitstream in a network environment; detecting a question in a decoded audio portion of a video bitstream; and marking a segment of the video bitstream with a tag. The tag may correspond to a location of the question in the video bitstream, and can facilitate consumption of the video bitstream. The method can further include detecting keywords in the question, and combining the keywords to determine a content of the question. In specific embodiments, the method can also include receiving the question and a corresponding answer from a user interaction, crowdsourcing the question by a plurality of users, counting a number of questions in the video bitstream and other features.