Video Object Tagging via Pre-Extracted Metadata
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Solution Overview
Problem
Conventional security surveillance systems require users to manually and inefficiently tag objects in videos across multiple frames and cameras, making the process burdensome, especially when dealing with multiple objects.
Innovation Solution
A method and device that utilize object meta data to directly obtain the position and timestamp of a target object, allowing for rapid and automatic tagging by displaying a selectable area and generating tag function items, enabling efficient management, playback, and export of tagged videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual tagging is used by continuously checking frames and dragging timeline, then user can tag objects in video, but the process becomes complicated and inefficient
Solution Approach 1:
The system performs preliminary actions by automatically detecting objects in video frames and pre-generating timestamp and bounding box data before the user needs to tag. This allows the user to simply select from pre-prepared tagging options rather than manually searching through frames and calculating timestamps, dramatically reducing tagging time while maintaining ease of operation.
Solution Approach 2:
The system enables self-service tagging by automatically providing timestamp and bounding box information when users interact with video frames. The computer calculates and displays relevant tagging data based on user selection, allowing the tagging process to serve itself through automated information retrieval rather than requiring manual frame-by-frame analysis.
2Reliability
If user tags multiple objects across several cameras manually, then complete tagging coverage is achieved, but user burden becomes huge
Solution Approach 1:
The system implements multi-functionality by handling tagging operations across multiple cameras and multiple object types through a unified interface. When a user selects an object in any camera view, the system universally applies the same automated timestamp and bounding box retrieval mechanism, maintaining consistent tagging completeness across all cameras without increasing user burden.
Solution Approach 2:
The system introduces an intermediary layer that automatically retrieves and provides timestamp and bounding box data between the user and the video frames. This intermediary function handles the complex data retrieval and calculation tasks, allowing users to focus only on selecting objects while the system manages the detailed tagging information across multiple cameras.
3Productivity
If automatic tagging is implemented using object meta data, then tagging efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary object detection and metadata extraction automatically before tagging is needed. By pre-processing video frames to identify objects and extract their timestamps and bounding boxes, the system prepares all necessary tagging information in advance, enabling rapid automatic tagging without requiring complex real-time calculations during the tagging process itself.
Solution Approach 2:
The system replaces manual mechanical tagging operations with automated computer-based processes. Instead of users manually analyzing frames and calculating timestamps, the computer automatically retrieves metadata, calculates timestamps, and generates bounding boxes through programmed algorithms, substituting mechanical user actions with automated computational processes that improve productivity while managing system complexity.
Data Source
AI summary
A method for tagging an object in a video includes playing a video with a plurality of frames, selecting a target object in a playing frame by a cursor, obtaining at least one timestamp and at least one bounding box that correspond to the target object, from an object meta data, showing a selectable area in the playing frame according to the bounding box corresponding to the timestamp of the playing frame, generating at least one tag function item linking to the selectable area, and tagging the target object according to one of the at least one tag function item. Therefore, the target object in the video can be tagged in an easy and fast way.