Event-Driven Video Query Generation for Faster Object Search
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Solution Overview
Problem
Existing video search techniques for objects rely heavily on human intervention, leading to variable search speed and accuracy based on the guard's ability and judgment, which can result in suboptimal performance.
Innovation Solution
An information processing apparatus that automatically analyzes captured video for event occurrence, determines the type of query information based on the event, and generates query information from the video at a time other than the event occurrence, using sensors, determining units, and generators to enhance object search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual designation by guard is used to initiate person search, then the system can operate with simple architecture, but search speed and accuracy vary depending on guard's ability and judgment
Solution Approach 1:
The system performs self-service by automatically analyzing video data to detect events and generate search queries without requiring manual intervention from guards. The event detection unit autonomously identifies events of interest, and the query generation unit automatically creates search queries based on detected events, eliminating dependency on human judgment and action timing.
Solution Approach 2:
The manual mechanical process of guard designation is replaced with an automated electronic system. The event detection unit uses image processing and pattern recognition algorithms to substitute the guard's visual inspection and manual triggering, while the query generation unit replaces manual query formulation with automated algorithmic generation based on event characteristics.
2Productivity
If guard manually designates images for search, then the system architecture remains simple, but search performance depends on guard's timing and judgment quality
Solution Approach 1:
The system performs preliminary action by continuously analyzing video data and detecting events before manual intervention would be needed. The event detection unit monitors video streams in real-time, identifying events of interest and preparing search queries in advance, so that when searches are initiated, they can immediately proceed without waiting for manual designation.
Solution Approach 2:
The query generation unit acts as an intermediary between event detection and the search system. It automatically translates detected events into appropriate search queries, serving as a mediator that converts raw event data into actionable search parameters without requiring manual translation or judgment from guards.
3Reliability
If automatic event-based search is implemented, then search accuracy and speed improve, but the system requires more complex components including event detection unit and query generation unit
Solution Approach 1:
The system is segmented into distinct functional units: video data acquisition unit, event detection unit, query generation unit, and search execution unit. Each unit performs a specific function, allowing the complex automated search system to be divided into manageable, specialized components that can be developed, tested, and maintained independently while working together to achieve reliable automated search.
Data Source
AI summary
To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.