A spark-based semantic annotation method for massive videos
A semantic annotation and video technology, applied in video data retrieval, image data processing, instruments, etc., can solve the problems that computing resources cannot support large-scale calculations, cannot apply massive video annotations, etc., and achieve the effect of improving scalability
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0035] The present invention is based on the massive video semantic labeling method of Spark, and the steps are as follows:
[0036] The first step is to establish a Hadoop / Spark massive video big data platform. The platform is composed of three parts: management module, structure module and data module, which are independent of each other to realize flexible storage of massive data. Independent maintenance and upgrade, flexible handling of system redundancy and backup. Such as figure 2 As shown, the management module provides a set of access interfaces to the operating system (client), mainly including: creating, opening, closing, revoking, reading, writing, rights management, etc. for files and directories. The operating system (client) obtains various services of the data storage system through these access interfaces. The structure module creates corresponding data tables in the database for data files of different structures, and the table describes file attribute info...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com