18542408. MESSAGE PASSING NETWORK BASED OBJECT SIGNATURE FOR OBJECT TRACKING simplified abstract (QUALCOMM Incorporated)
Contents
MESSAGE PASSING NETWORK BASED OBJECT SIGNATURE FOR OBJECT TRACKING
Organization Name
Inventor(s)
Avdhut Joshi of San Marcos CA (US)
Sajal Maheshwari of Seattle WA (US)
Ahmed Kamel Sadek of San Diego CA (US)
MESSAGE PASSING NETWORK BASED OBJECT SIGNATURE FOR OBJECT TRACKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18542408 titled 'MESSAGE PASSING NETWORK BASED OBJECT SIGNATURE FOR OBJECT TRACKING
Simplified Explanation: The patent application describes a system for processing image data, which involves computing initial embeddings from multiple images, constructing a graph based on these embeddings, performing message passing steps on the graph to generate final embeddings, classifying objects in the images using the final embeddings, and computing a classification loss based on the classification results.
Key Features and Innovation:
- Computation of initial embeddings from a plurality of images
- Construction of a graph with nodes representing the initial embeddings
- Message passing steps on the graph to generate final embeddings
- Classification of objects in images based on the final embeddings
- Computation of a classification loss based on the classification results
Potential Applications: The technology can be applied in various fields such as image recognition, object classification, and computer vision systems.
Problems Solved: This technology addresses the challenges of efficiently processing and classifying large amounts of image data.
Benefits:
- Improved accuracy in object classification
- Efficient processing of image data
- Automated classification of objects in images
Commercial Applications: Potential commercial applications include automated image tagging systems, surveillance systems, and quality control in manufacturing processes.
Prior Art: Readers can explore prior art related to image processing, graph-based algorithms, and object classification systems.
Frequently Updated Research: Stay updated on advancements in image processing algorithms, graph theory applications, and machine learning techniques relevant to this technology.
Questions about Image Data Processing: 1. What are the key components of the image data processing system described in the patent application? 2. How does the technology improve the efficiency of object classification in images?
Original Abstract Submitted
Disclosed are systems, apparatuses, processes, and computer-readable media for processing image data. For example, an apparatus can compute initial embeddings from a plurality of images. The apparatus can construct a graph comprising nodes representing the initial embeddings. The apparatus can further perform, based on the graph, a plurality of message passing steps successively to generate final embeddings. The apparatus can classify, using a classification engine, one or more objects in each of the plurality of images based on the final embeddings. The apparatus can further compute a classification loss based on the classifying of the one or more objects.
