초록 ▼

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictiv

An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation which may be efficiently processed to determine correspondence. Applications of the interface and system include a VCR, medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.

대표청구항 ▼

[ What is claimed is:] [1.] A method for classifying image data comprising the steps of:providing a plurality of object-related models;creating, from the image data, a plurality of accessible mapped ranges corresponding to different subsets of the image data;assigning at least one identifier to corr

[ What is claimed is:] [1.] A method for classifying image data comprising the steps of:providing a plurality of object-related models;creating, from the image data, a plurality of accessible mapped ranges corresponding to different subsets of the image data;assigning at least one identifier to corresponding ones of the mapped ranges, each of the identifiers specifying for the corresponding mapped range a procedure and a corresponding subset of the image data;executing, for a plurality of the mapped ranges, a corresponding procedure upon a subset of the image data which corresponds to the mapped ranges;selecting at least one of the mapped ranges corresponding to a portion of the image data;representing the image data as a set of the identifiers of the selected mapped ranges; anddetermining a class relations of the representation of the image data as a set of identfiers of the selected mapped ranges with at least one of said plurality of models based on an image-to-model correspondence.