Nokia technologies oy (20240340431). REGION-BASED FILTERING simplified abstract
Contents
REGION-BASED FILTERING
Organization Name
Inventor(s)
[[:Category:Francesco Cricr� of Tampere (FI)|Francesco Cricr� of Tampere (FI)]][[Category:Francesco Cricr� of Tampere (FI)]]
Miska Matias Hannuksela of Tampere (FI)
REGION-BASED FILTERING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240340431 titled 'REGION-BASED FILTERING
The abstract describes a patent application for an apparatus, method, and computer program product that involves receiving a frame to be filtered, receiving semantic information about the frame, and filtering the frame based on the semantic information.
- The apparatus includes at least one processor and memory storing instructions for filtering frames based on semantic information.
- The method involves receiving and filtering frames using semantic information.
- The computer program product enables the filtering of frames based on semantic information.
Potential Applications: - Video processing and analysis - Image recognition and classification - Data compression and optimization
Problems Solved: - Efficient filtering of frames based on semantic information - Improved accuracy in processing visual data - Enhanced performance in data analysis tasks
Benefits: - Increased efficiency in data processing - Enhanced accuracy in content filtering - Improved performance in visual recognition tasks
Commercial Applications: Title: Semantic Frame Filtering Technology for Enhanced Data Processing This technology can be applied in industries such as: - Surveillance and security - Media and entertainment - Healthcare imaging systems
Prior Art: Researchers can explore prior patents related to semantic frame filtering, data processing, and image recognition technologies to understand the existing landscape.
Frequently Updated Research: Researchers can stay updated on advancements in semantic frame filtering, data processing, and image recognition technologies through academic journals and industry conferences.
Questions about Semantic Frame Filtering Technology: 1. How does semantic frame filtering improve data processing efficiency? Semantic frame filtering enhances data processing efficiency by allowing frames to be filtered based on semantic information, reducing the need for manual intervention and improving automation.
2. What are the key differences between traditional frame filtering methods and semantic frame filtering? Traditional frame filtering methods rely on predefined rules or patterns, while semantic frame filtering uses contextual information to make filtering decisions, leading to more accurate results.
Original Abstract Submitted
various embodiments describe apparatus, method and computer program product. an example apparatus includes at least one processor; and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: receiving a frame to be filtered; receiving semantic information about the frame to be filtered; and filtering the frame based at least on the semantic information.
