18554177. TOOL SELECTION FOR FEATURE MAP ENCODING VS REGULAR VIDEO ENCODING simplified abstract (CANON KABUSHIKI KAISHA)
Contents
TOOL SELECTION FOR FEATURE MAP ENCODING VS REGULAR VIDEO ENCODING
Organization Name
Inventor(s)
Christopher James Rosewarne of Concord (AU)
TOOL SELECTION FOR FEATURE MAP ENCODING VS REGULAR VIDEO ENCODING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18554177 titled 'TOOL SELECTION FOR FEATURE MAP ENCODING VS REGULAR VIDEO ENCODING
Simplified Explanation: The patent application describes an apparatus that can generate two types of encoded data - one with encoded data of a feature map based on a neural network, and one without this feature map data.
- The apparatus includes a determining unit to decide if the encoded data will include the feature map.
- An encoding unit generates the first encoded data using multiple functions for encoding video data, without the feature map data.
- The encoding unit generates the feature map data using only a portion of the functions when generating the second encoded data.
Key Features and Innovation:
- Apparatus can generate encoded data with or without feature map data based on a neural network.
- Uses multiple functions for encoding video data.
- Efficiently generates feature map data using a subset of functions when needed.
Potential Applications: This technology can be applied in video encoding, image processing, machine learning, and artificial intelligence systems.
Problems Solved: This technology addresses the need for flexible encoding methods that can adapt to different data requirements.
Benefits:
- Improved efficiency in generating encoded data.
- Enhanced flexibility in encoding processes.
- Better integration of neural network-based features in encoded data.
Commercial Applications: Potential commercial applications include video streaming services, surveillance systems, content delivery networks, and video analytics platforms.
Prior Art: Readers can explore prior patents related to video encoding, neural network-based encoding, and feature map generation in video data.
Frequently Updated Research: Stay updated on advancements in video encoding techniques, neural network applications in video processing, and feature map utilization in data encoding.
Questions about video encoding: 1. How does this technology improve the efficiency of video encoding processes? 2. What are the potential applications of neural network-based encoding in different industries?
Original Abstract Submitted
An apparatus for generating first encoded data and second encoded data. The apparatus comprises a determining unit for determining whether the apparatus generates encoded data including encoded data of a feature map based on a neural network. The apparatus also comprise an encoding unit for generating the first encoded data using a plurality of functions for encoding video data, in a case where the apparatus generates the first encoded data in a form of encoded video data not including the encoded data of the feature map. The encoding unit generates the encoded data of the feature map using a first part of the plurality of functions but not using a second part of the plurality of functions, in a case where the apparatus generates the second encoded data including the encoded data of the feature map.
