Multi-View Video Determination Using Depth Information Extraction
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Solution Overview
Problem
Existing technologies face challenges in efficiently determining whether multi-view videos are the same, particularly due to the large file sizes and formats that combine basic videos with depth information, leading to slow file transmission and a lack of applicability to 3D videos like 360-degree virtual reality videos.
Innovation Solution
An apparatus and method that extract and compare feature information from original and query multi-view videos, using an original video extraction unit, a query video extraction unit, and a video determination unit to analyze basic screen and depth information screen features, determining video similarity through a pre-learned similarity model and providing results via a blockchain network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-view videos are transmitted in a file format combining basic video and depth information, then video quality and 3D content capability are improved, but file capacity increases and transmission speed decreases
Solution Approach 1:
The patent extracts depth information screens from the multi-view video data and stores them separately in a database. This allows the basic video to be transmitted efficiently while depth information is retrieved only when needed, reducing transmission time without sacrificing 3D viewing quality.
Solution Approach 2:
The patent divides the multi-view video into separate components: basic video streams and depth information screens. By segmenting the data, the system can transmit the essential video content quickly while storing detailed depth information for later retrieval, thus improving transmission speed while maintaining video quality.
2Device complexity
If existing 2D video filtering technology is applied to 3D multi-view videos, then copyright identification process is simplified, but the technology cannot accurately handle 3D video content
Solution Approach 1:
The patent extends the copyright filtering technology from 2D to 3D by incorporating depth information screens into the similarity detection process. This dimensional expansion allows accurate identification of 3D video content while maintaining the efficiency of automated filtering through database storage and retrieval mechanisms.
3Quantity of substance
If depth information screens are extracted and stored separately, then data capacity for depth information is reduced, but the extraction and storage process becomes more complex
Solution Approach 1:
The patent implements an automated extraction and storage process where the system itself performs the complex tasks of extracting depth information screens from multi-view videos and storing them in the database. This self-service approach handles the complexity internally while presenting a simplified interface for copyright detection.
Data Source
AI summary
An apparatus for determining a video based on depth information, includes an original video extraction unit that receives an original multi-view video, extracts a plurality of frames from the input original multi-view video, extracts a plurality of basic screen feature information from the extracted basic screen for each frame, and stores the extracted plurality of basic screen feature information; a query video extraction unit that receives a query multi-view video, extracts a plurality of frames and depth information screens from the input query multi-view video, extracts a plurality of depth information screen feature information from the extracted depth information screen for each frame, and stores the plurality of depth information screen feature information in a query database for each frame; and a video determination unit that compares basic screen feature information of the original multi-view video with the depth information screen feature information of the query multi-view video.