Lg electronics inc. (20240346814). ARTIFICIAL INTELLIGENCE DEVICE FOR ATTENTION OVER DETECTION BASED OBJECT SELECTION AND CONTROL METHOD THEREOF simplified abstract
ARTIFICIAL INTELLIGENCE DEVICE FOR ATTENTION OVER DETECTION BASED OBJECT SELECTION AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Manasa Bharadwaj of Toronto (CA)
ARTIFICIAL INTELLIGENCE DEVICE FOR ATTENTION OVER DETECTION BASED OBJECT SELECTION AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346814 titled 'ARTIFICIAL INTELLIGENCE DEVICE FOR ATTENTION OVER DETECTION BASED OBJECT SELECTION AND CONTROL METHOD THEREOF
The method described in the abstract involves controlling an artificial intelligence device by processing input queries, images, object detection data, and topic labels to generate attention maps for various elements.
- Obtaining input query, image, bounding boxes, object labels, and topic labels
- Generating word embeddings for topic labels and object labels
- Creating output attention maps based on word embeddings
- Combining attention maps to generate a final attention map
Potential Applications: - Enhancing AI systems for image recognition and processing - Improving natural language processing capabilities - Enhancing the efficiency of AI devices in understanding and responding to queries
Problems Solved: - Enhancing the accuracy of object detection in images - Improving the contextual understanding of input queries - Enhancing the overall performance of AI devices
Benefits: - Improved accuracy and efficiency in AI operations - Enhanced user experience with AI devices - Increased capabilities for complex tasks like image recognition and language processing
Commercial Applications: Title: Advanced AI Control Method for Enhanced Image Recognition This technology can be applied in industries such as: - E-commerce for improved product recommendations - Healthcare for medical image analysis - Security for surveillance systems
Questions about the technology: 1. How does this method improve the performance of AI devices in processing input queries and images? 2. What are the potential limitations of using attention maps in controlling AI devices?
Frequently Updated Research: Stay updated on advancements in AI technology related to image recognition and natural language processing to further enhance the capabilities of this method.
Original Abstract Submitted
a method for controlling an artificial intelligence (ai) device can include obtaining an input query, an input image, bounding boxes for objects detected in the input image, object labels corresponding to the bounding boxes, and at least one topic label for a word in the input query, generating at least one word embedding for the at least one topic label, and generating a plurality of word embeddings for the object labels corresponding to the bounding boxes. the method can further include generating output attention maps corresponding to scaled dot product attention matrices based on the at least one word embedding for the at least one topic label from the input query and each of the plurality of word embeddings for the object labels, and combining the output attention maps to generate a final attention map corresponding to the at least one topic label from the input query.
