Video Search Interface with Sensor Graphs
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Solution Overview
Problem
Searching for specific scenes in long-duration moving images is time-consuming and labor-intensive, as existing techniques rely on user input and do not utilize data from image analysis, such as sensor data, to assist in finding reproduction points.
Innovation Solution
An information processing system that acquires moving image data, receives sensor data and chronological data, performs image analysis, and generates an interface combining moving image data with graphs of sensor data, chronological data, and image analysis results to assist users in finding specific scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire moving image is reproduced from the first scene to find a desired point, then the search can be thorough, but it takes much time and effort
Solution Approach 1:
The system performs preliminary analysis of the moving image data before reproduction, extracting key information such as object detection results, action recognition, and sensor data correlations. This preprocessing creates an index or metadata structure that enables rapid location of desired scenes without watching the entire video, thus resolving the contradiction between thorough search and time consumption
Solution Approach 2:
The system introduces an intermediary interface that displays extracted information (detected objects, recognized actions, sensor data trends) as a mediator between the raw moving image data and the user's search goal. This intermediary representation allows users to quickly identify and navigate to desired scenes based on the pre-processed information, avoiding the need to review the entire video
2Adaptability or versatility
If only user input is used to detect favorite degree, then the system is simple, but it cannot search for scenes using data not obtained from image analysis
Solution Approach 1:
The system implements multi-functionality by integrating multiple data sources including image analysis results, sensor data (accelerometer, gyroscope, microphone), and chronological information into a unified search framework. This allows the same system to handle various types of query conditions regardless of data source, achieving versatility without proportionally increasing complexity through standardized processing interfaces
Solution Approach 2:
The system merges multiple data sources (image analysis, sensor data, chronological data) into a unified analysis framework where all data types are processed together to identify desired scenes. This combination allows the system to leverage complementary information from different sources, enhancing search capability while managing complexity through integrated processing
Data Source
AI summary
Provided is an information processing system, including a moving image data acquiring unit that acquires moving image data, a communication unit that receives sensor data associated with the moving image data and chronological data corresponding to a shooting time of the moving image data, an image signal processing unit that performs image analysis on the moving image data and generate image analysis result data, and a control unit that generates an interface including the moving image data and graphs of at least two pieces of data among the sensor data, the chronological data, and the image analysis result data.