Video Recording Apparatus Object Color Search
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Solution Overview
Problem
Current video recording systems, such as CCTV systems, face challenges in efficiently searching for specific events within recorded videos due to the large amount of irrelevant data generated, including repetitive motions, making it difficult to detect desired events in real-time monitoring and metadata-based searches.
Innovation Solution
A video recording apparatus that extracts representative color information from detected objects, classifies them as humans, vehicles, or animals, and transforms this information into searchable metadata, allowing for targeted searches based on color and event attributes, using an object classifier, object color extractor, and search color storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If motion detection is performed by a video recording apparatus according to the related art, then motion events can be detected, but repetitive meaningless motions such as wavering of leaves in a tree are erroneously detected as events, increasing the amount of information to be searched
Solution Approach 1:
The patent applies local quality by analyzing specific local features of detected objects rather than treating all motion equally. The object classification module examines local characteristics such as shape, size, and motion patterns of specific regions to distinguish meaningful events from meaningless motions like leaf wavering, thereby improving detection accuracy while reducing false positives.
Solution Approach 2:
The patent utilizes parameter changes by transforming the representative color of detected objects into color for search and storing this transformed parameter. This parameter transformation enables more precise filtering and classification of detected events, allowing the system to differentiate between meaningful and meaningless motions based on color characteristics and other object parameters.
2Reliability
If all videos transmitted from a plurality of CCTVs are monitored in real time, then all events can be detected, but it is difficult for only one person to thoroughly monitor all videos
Solution Approach 1:
The patent introduces an intermediary system consisting of the video recording apparatus with automated object classification and color-based search capabilities. This intermediary automatically processes and categorizes video feeds from multiple CCTVs, transforming the monitoring task from manual review of all videos to automated detection followed by targeted search based on extracted features, thereby maintaining detection completeness while reducing operational complexity.
Solution Approach 2:
The patent creates copies of essential object characteristics (representative color, classification type, key attributes) and stores them as searchable metadata. Instead of requiring manual review of original video streams, the system uses these copied feature representations to enable rapid searching and filtering, significantly reducing the complexity of monitoring multiple video sources while maintaining detection reliability.
3Ease of operation
If the representative color of the object is extracted and transformed into color for search, then metadata-based search capability is improved, but additional processing steps and storage requirements are introduced
Solution Approach 1:
The patent applies preliminary action by extracting and transforming the representative color of objects into color for search during the initial video processing stage, before any search operations are performed. This pre-processing of color information and storage in metadata enables rapid, ease-of-use search functionality without adding complexity during the actual search operation, as the transformation work is completed in advance.
Data Source
AI summary
A video recording apparatus includes: an object classifier configured to classify an object which is included in an input video and related to a detected event, according to a type of the object; an object color extractor configured to extract a representative color of the object; and a search color storage configured to transform the representative color into a search color and store the search color as color information to be used for searching the object or the detected event from the input video.