Smart Tagging System for Personalized Video Highlight Extraction
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Solution Overview
Problem
Conventional video recording methods require users to watch entire events, such as sports games, to find specific highlights, which is inefficient and lacks personalization, as users cannot easily create or share personalized clips of event moments.
Innovation Solution
A system that receives a video stream from a camera and allows multiple users to create and group tags for event highlights, enabling the generation of personalized video clips based on user-generated tags, which can be shared and viewed independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users watch entire event recordings to find highlights, then they can view complete event content, but it consumes excessive time and effort
Solution Approach 1:
The system performs preliminary tagging of video segments by multiple users before playback. Each user can tag interesting moments as they watch, and these tags are stored and made available for others to access. This preliminary action eliminates the need for subsequent users to manually search through entire recordings.
Solution Approach 2:
The system enables self-service by allowing users to automatically access highlighted segments through crowd-sourced tags without manual searching. The tagging system is also self-updating as new users contribute their own tags, continuously improving the highlight discovery experience.
2Adaptability or versatility
If conventional editing software is used to create personalized clips, then users can customize video content, but the process becomes complex and time-consuming
Solution Approach 1:
The system extracts only the essential functionality needed for personalization - the ability to tag and retrieve specific segments. By separating this core function from complex editing software, users can create personalized clips through simple tagging actions without needing access to full-featured editing tools.
Solution Approach 2:
The system creates simplified copies of the video editing process. Instead of requiring users to manipulate raw video files through complex interfaces, the system provides pre-processed highlight segments that can be easily assembled and shared, replicating the end result without the complex intermediate steps.
3Quantity of substance
If multiple users contribute tags for the same event, then more comprehensive coverage of highlights is achieved, but organizing and managing tags becomes more complex
Solution Approach 1:
The system merges tags from multiple users into a unified structure. All tags are collected and stored together in a centralized database associated with each video file, automatically combining contributions from different users without requiring manual consolidation or complex coordination.
Solution Approach 2:
The tag management system serves multiple functions simultaneously: it stores tags from any user, organizes them by temporal position in the video, enables search and filtering, and facilitates sharing. This multi-functional approach handles diverse user contributions through a single unified interface.
Data Source
AI summary
Implementations generally relate to providing smart tags. In some implementations, a method includes receiving, at a server, a video stream from a video camera. The method further includes receiving, at the server, a plurality of tags from a plurality of client devices, where each tag of the plurality of tags tags a portion of the video stream. The method further includes tagging the video stream based on the plurality of tags. The method further includes grouping the plurality of tags into a plurality of tag groups, where each tag group includes one or more tags received from a particular client device.