Caere Corporation

Western Digital Technologies, Inc.

Kenneth Chan Choy

Jun Yang

Mindy R Bokser

Leonard K Pon

Tapas Kanungo

Anirudha Deglurkar

Systems and methods are disclosed for editing metadata for data objects on a data storage device, which may be configured to identify data objects that have been modified and may be associated with storage locations of a file system. The data storage device may also be configured determine whether a first period of time has elapsed and may further be configured to determine whether a second period of time has elapsed or whether a threshold number of data objects in the file system have been modified in response to a first determination that the first time period has elapsed. The data storage device may further be configured to edit a set of metadata for a set of data objects in response to a second determination that the second period of time has elapsed or the threshold number of data objects in the file system have been modified.

Managing and accessing data storage systems

The disclosed invention utilizes a dictionary-based approach to identify languages within different zones in a multi-lingual document. As a first step, a document image is segmented into various zones, regions and word tokens, using suitable geometric properties. Within each zone, the word tokens are compared to dictionaries associated with various candidate languages, and the language that exhibits the highest confidence factor is initially identified as the language of the zone. Subsequently, each zone is further split into regions. The language for each region is then identified, using the confidence factors for the words of that region. For any language determination having a low confidence value, the previously determined language of the zone is employed to assist the identification process.

Automatic language identification system for multilingual optical

A pattern recognition system classifies images of patterns in which the definition of individual features of the pattern may have become blurred. The image is segmented into pieces of arbitrary size and shape, and various combinations are examined to determine those which represent the most likely segmentation of the pattern into its individual features. These individual features are then classified, according to known techniques. Through the use of a second order Markov model, not all possible combinations of pieces need to be examined, to determine the best ones. Rather, the examination of various combinations is limited in accordance with previously determined information, to thereby render the process more efficient. By combining multiple, independently determined probabilities, the accuracy of the overall operation is enhanced.

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Los Gatos, CA, United States of America

Kenneth Chan Choy