Abstract: The present invention discloses methods and apparatuses of coding category-selective representation of occluding contours on an image with or without border-ownership; the invention further discloses methods and apparatuses for generating such category-selective representation of occluding contours on an image with or without border-ownership for a given image by training and using neural networks.

Abstract: The invention discloses methods and apparatuses of coding border-ownership representation of occluding contours of objects in images; the invention further discloses methods and apparatuses for generating such border-ownership representation for a given image by training and using neural networks.

Abstract: The invention discloses methods and apparatuses of coding border-ownership representation of occluding contours of objects in images; the invention further discloses methods and apparatuses for generating such border-ownership representation for a given image by training and using neural networks.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method to implement a wireless mouse capable of controlling multiple computing devices is disclosed. The disclosed wireless mouse has a means to store identifications of multiple signal receivers which are each connected to or are each part of a computing device; the disclosed wireless mouse has a means to select one of multiple signal receivers such that one of multiple computing devices (which has connection with selected signal receiver) as target to receive position (pointing) information for further action by the targeted computing device.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method and system for identifying a human being or verifying two human beings by partial component(s) of their face. A probe human face image is identified from the gallery database by detecting and segmenting a plurality of partial face components from the probe human face image; creating a probe template for each of the partial face components from the probe human face image, comparing first and second probe templates against first and second categories of templates in the gallery database to generate similarity scores between the probe templates and templates in the gallery database; generating a plurality of sub-lists of candidate images having partial face component templates with the highest similarity scores over a first preset threshold; generating for each candidate image from each sub-list a combined similarity score; and generating a final list of candidates from said candidates of combined similarity scores over a second preset threshold.

Abstract: An portable integrated identification and verification system is disclosed. The station includes multiple devices integrated for identifying or verifying the identity of a person. The multiple devices, which may include a camera, a document scanner, and a fingerprint scanner, are mounted in a housing along with a computing device.

Abstract: A method and system for constructing a database management system for managing biometric data is disclosed. The disclosed system receives data from another database or from and enrollment process, encodes the data with an encoding plug-in, and stores the encoded data in a biometric data storage. The data may be enhanced before being stored. Incoming target data likewise is encoded using an encoding plug-in and may be pre-processed, and is sent to a matching algorithm that is either built-in or a plug-in algorithm. Further processing may occur after application of the matching algorithm. The disclosed database management system can be used not only for biometric database, but also for other similar types of data management.

Abstract: A computer-implemented method for an object and activity query language wherein an object is a data type representing a thing or a being with a visual shape in an image or video frame and said activity is a data type representing an action or an event visually shown in an image or video or video frame, the method comprising the steps of storing a plurality of items in a raw data storage, said items comprising images and/or videos, processing said items in a processor and to generate and/or segment annotated information from said items and to extract object, activity and/or metadata information from said items in said first data storage, storing said annotated information in a secondary data storage, storing said extracted object, activity, and/or metadata information and said annotated information in a primary data storage, executing on a processor an identify function, wherein given a query item said identify function identifies said query item and/or finds a list of items similar to said first item; and a s

Abstract: An portable integrated identification and verification system is disclosed. The station includes multiple devices integrated for identifying or verifying the identity of a person. The multiple devices, which may include a camera, a document scanner, and a fingerprint scanner, are mounted in a housing along with a computing device.

Abstract: An portable integrated identification and verification system is disclosed. The station includes multiple devices integrated for identifying or verifying the identity of a person. The multiple devices, which may include a camera, a document scanner, and a fingerprint scanner, are mounted in a housing along with a computing device.

Abstract: A comprehensive Memory-Resident Database Management System architecture and implementation is disclosed where a) all data storage in database is in memory, b) all database management functionality is in memory except backup and recovery storage based on hard disk, c) all database objects including tables, views, triggers, procedures, functions . . . are in memory, d) all data security is at memory level, e) all data indexed, sorted and searched based on the selected search algorithms are in memory, f) all logging functionality to refresh in-between transactions reside in memory. Therefore, the processing speed of database query will take advantage of speed of RAM (Random Access Memory) without sacrifice any speed losing on Hard disk I/O. Not only the whole database is running in RAM, but also all or pre-selected database table columns are default to be indexed. All internal processing of database query is based on indexed columns.

Abstract: A method and apparatus for constructing a memory-based database service platform, in which database can be on-loaded and off-loaded or unloaded as needed, and can reserve schedule and size of memory and other resources, including CPUs, network, backup, mirroring and recovery recourses. With the service platform, multiple different types of databases can be chosen by specifying data storage type and data operation interfaces, such as Relational Database (RDB), Biometric Database (BDB), Time Series Database (TDB), Data Driven Database (DDDB) and File-based Database (FDB) etc. Database types can be chosen either by user directly or by platform automatically or semi-automatically based on data types and data operation characteristics.

Abstract: A method and implementation of enhancing a facial recognition process to increase the judgment confidence on identifying a person from a large image database of multiple persons. The method may include reconstructing a database of 2D images having only a small number of images with respect to each person into a database having multiple images, perhaps hundreds or thousands, of each person. The multiple images represent different camera angles or different lighting conditions. The method further includes adding an extra confidence percentage to matching images in the database when multiple images of a person are identified as matching.