Jonathan J. Hull

Publication List Details

Period

1984 - 2009

Number

52

Co-Authors

iCandy: a Tangible User Interface for iTunes (2009)

Jamey Graham, Jonathan J. Hull

For more than half a century, musicians used artwork as a way of visually describing the contents of an album. “Cover art ” attracts attention, reminds the listener of the contents, and when...

17th International Conference on Artificial Reality and Telexistence 2007 Paper-Based Augmented Reality (2009)

Jonathan J. Hull, Berna Erol, Jamey Graham, Qifa Ke, Hidenobu Kishi, Jorge Moraleda, ...

A new method for augmenting paper documents with electronic information is described that does not modify the format of the paper document in any way. Applicable to both commercially printed...

Revolving Video Camera: Trading Temporal for Spatial Resolution (2009)

John Barrus, Jonathan J. Hull

We will demonstrate a completely working version of a revolving video camera and show how we can generate high resolution panoramas that significantly enhance the ability to recognize objects with an...

66 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 16. NO. I. JANUARY 1994 Decision Combination in Multiple Classifier Systems (2008)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari, Senior Member

Abstract-A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of arbitrary...

66 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 16. NO. I. JANUARY 1994 Decision Combination in Multiple Classifier Systems (2008)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Stihari, Senior Member

Abstract-A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of arbitrary...

Semantic classification of business images (2008)

Berna Erol, Jonathan J. Hull

Digital cameras are becoming increasingly common for capturing information in business settings. In this paper, we describe a novel method for classifying images into the following semantic classes:...

A Modern Day Video Flip-Book: Creating a Printable Representation from Time-Based Media (2008)

Berna Erol, Jamey Graham, Jonathan J. Hull, Peter E. Hart

In this paper, we describe a method for storing an entire video, animation sequence, or any other media type, on paper. The method is based on printing a key frame from a video on paper along with a...

Menlo (2008)

Dar-shyang Lee, Jonathan J. Hull

Numerous approaches, including textual, structural and featural, to detecting duplicate documents have been investigated. Considering document images are usually stored and transmitted in compressed...

IMAGE-BASED KEYWORD RECOGNITION IN ORIENTAL LANGUAGE DOCUMENT IMAGES (2008)

Pih S, Jason Zhu, T Tao Hong, Jonathan J. Hull

objective is to recognize keywords composed of more than one consecutive character in document images where there are no explicit visually defined word boundaries. The technique exploits the...

A Relaxation Algorithm That Uses Word Collocation to Improve Text Recognition Performance (2008)

Tao Hong, Jonathan J. Hull

A method is presented for postprocessing the output of a word recognition algorithm for visual text recognition. A word recognition algorithm typically outputs a list of alternatives for the identity...

The Application Of Word Image Matching In Text Recognition (2007)

Siamak Khoubyari, Chairman Dr, Jonathan J. Hull, Member Dr, Sargur N. Srihari

Printed text recognition usually involves recognizing individual characters, and assembling the results to recognize words and sentences. However, the performance of conventional character...

Combination of Structural Classifiers 1 (2007)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

A technique for combining the results of structural classifiers in a multi-classifier image recognition system is presented. Each classifier produces a ranking of a set of classes. The combination...

Visualizing Multimedia Content on Paper Documents: Components of Key Frame Selection for Video Paper (2007)

Jonathan J. Hull, Berna Erol, Jamey Graham, Dar-shyang Lee

The components of a key frame selection algorithm for a paper-based multimedia browsing interface called Video Paper are described. Analysis of video image frames is combined with the results of...

Computing a Multimedia Representation for Documents Given Time and Display (2006)

Berna Erol, Kathrin Berkner, Siddharth Joshi, Jonathan J. Hull

It is difficult to view multipage, high resolution documents on devices with small displays. As a solution, we introduce a Multimedia Thumbnail representation, which can be seen as a multimedia clip...

MinuteAid: Multimedia note-taking in an intelligent meeting room,” ICME (2004)

Dar-shyang Lee, Jonathan J. Hull, Berna Erol, Jamey Graham

A multimedia note taking system called MinuteAid is described that lets users of laptops include multimedia objects in notes they write during a presentation. The multimedia data is provided by...

A bayesian framework for gaussian mixture background modeling (2003)

Dar-shyang Lee, Jonathan J. Hull, Berna Erol

Background subtraction is an essential processing component for many video applications. However, its development has largely been application driven and done in ad hoc manners. In this paper, we...

The Video Paper Multimedia Playback System (2003)

Jamey Graham Berna, Jamey Graham, Berna Erol, Jonathan J. Hull, Dar-shyang Lee

Video Paper is a prototype system for multimedia browsing, analysis, and replay. Key frames extracted from a video recording are printed on paper together with bar codes that allow for random access...

A Paper-Based Interface for Video Browsing and Retrieval (2003)

Jamey Graham, Jonathan J. Hull

A paper-based interface for browsing video is proposed. A paper document shows key frames selected from a video, a transcript for the parallel audio track, and bar codes that, when scanned, invoke a...

Visualizing Multimedia Content on Paper Documents: Components of Key Frame Selection for Video Paper (2003)

Jonathan J. Hull, Berna Erol, Jamey Graham, Dar-shyang Lee

The components of a key frame selection algorithm for a paper-based multimedia browsing interface called Video Paper are described. Analysis of video image frames is combined with the results of...

Segmenting People in Meeting Videos Using Mixture Background and Object Models (2002)

Dar-shyang Lee, Berna Erol, Jonathan J. Hull

Abstract. We have developed a meeting recorder system which captures a panoramic video of a meeting room. Segmentation of people from this video is required for tracking and retrieval applications....

Toward Zero-Effort Personal Document Management (2001)

Jonathan J. Hull, Peter E. Hart

We introduce “ Save everything! ” as a radically simple paradigm for helping individual users manage their personal documents. For this approach to succeed the effort to capture and file...

Group 4 compressed document matching (1998)

Dar-shyang Lee, Jonathan J. Hull

Numerous approaches, including textual, structural and featural, for detecting duplicate documents have been investigated. Considering document images are usually stored and transmitted in compressed...

The infinite memory multifunction machine (IM (1998)

Jonathan J. Hull, Peter Hart

A complete, working document storage and retrieval system is described. Designed to help users solve the problem of lost documents, this system illustrates the concepts of automatic document capture...

Document image skew detection: Survey and annotated bibliography (1998)

Jonathan J. Hull

Algorithms that estimate the angle at which a document image is rotated (called a document’s skew) are surveyed. Four broad classes of technique are identified. These include methods that calculate...

Deciphering Algorithms for Degraded Document Recognition (1997)

Chi Fang, Chairman Dr, Jonathan J. Hull, Members Dr, Sargur N. Srihari

The research presented in this thesis provides new solutions to two fundamental problems in document recognition. The first problem is character segmentation. Touching characters and character...

Data sets for OCR and document image understanding research (1997)

Isabelle Guyon, Robert M. Haralick, Jonathan J. Hull, Ihsin Tsaiyun Phillips

Several significant sets of labeled samples of image data are surveyed that can be used in the development of algorithms for offline and online handwriting recognition as well as for machine printed...

Data sets for OCR and document image understanding research (1997)

Isabelle Guyon, Robert M. Haralick, Jonathan J. Hull, Ihsin Tsaiyun Phillips

Several signi cant sets of labeled samples of image data are surveyed that can be used in the development of algorithms for o ine and online handwriting recognition as well as for machine printed...

A Unified Approach Towards Text Recognition (1996)

Tao Hong, Jonathan J. Hull, Sargur N. Srihari

In our recent research, we found that visual inter-word relations can be useful for different stages of English text recognition such as character segmentation and postprocessing. Different methods...

Degraded Text Recognition Using Visual And Linguistic Context (1995)

Tao Hong, Chairman Dr, Jonathan J. Hull, Members Dr, Sargur N. Srihari, ...

Recognition of degraded text is a challenging problem. To improve the performance of an OCR system on degraded images of text, postprocessing techniques are critical. The objective of postprocessing...

The Design of a Nearest-Neighbor Classifier and Its Use for Japanese Character Recognition (1995)

Tao Hong, Stephen W. Lam, Jonathan J. Hull, Sargur N. Srihari

The nearest neighbor (NN) approach is a powerful nonparametric technique for pattern classification tasks. Although the brute-force NN algorithm is simple and has high accuracy, its computation cost...

Visual Inter-Word Relations and their Use in OCR Postprocessing (1995)

Tao Hong, Jonathan J. Hull

A technique is presented that uses visual relationships between word images in a document to improve the recognition of the text it contains. This technique takes advantage of the visual...

The Design of a Nearest-Neighbor Classifier and Its Use for Japanese Character Recognition (1995)

Tao Hong, Stephen W. Lam, Jonathan J. Hull, Sargur N. Srihari

The nearest neighbor (NN) approach is a powerful nonparametric technique for pattern classification tasks. In this paper, algorithms for prototype reduction, hierarchical prototype organization and...

Character Segmentation Using Visual Inter-word Constraints in a Text Page (1995)

Tao Hong, Jonathan J. Hull

Character segmentation is a critical preprocessing step for text recognition. In this paper a method is presented that utilizes visual inter-word constraints available in a text image to split word...

Algorithms for Postprocessing OCR Results with Visual Inter-Word Constraints (1995)

Tao Hong, Jonathan J. Hull

Algorithms are presented that determine the visual relationships between word images in a document. These include instances of common word images and common substrings that occur often in English...

Degraded Text Recognition Using Word Collocation (1994)

Tao Hong, Jonathan J. Hull

Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word collocation statistics to...

Degraded Text Recognition Using Word Collocation (1994)

Tao Hong, Jonathan J. Hull

Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word collocation statistics to...

Degraded Text Recognition Using Word Collocation (1994)

Tao Hong, Jonathan J. Hull

A relaxation-based algorithm is proposed that improves the performance of a text recognition technique by propagating the influence of word collocation statistics. Word collocation refers to the...

Degraded Text Recognition Using Word Collocation and Visual Inter-Word Constraints (1994)

Tao Hong, Jonathan J. Hull

Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word collocation statistics to...

Document image matching and retrieval with multiple distortion-invariant descriptors (1994)

Jonathan J. Hull

A method for organizing a database of document images is discussed that is based on image data extracted from the text portion of the documents. This allows for the location of matching documents...

Text Recognition Enhancement with a Probabilistic Lattice Chart Parser (1993)

Tao Hong, Jonathan J. Hull

A probabilistic lattice chart parser is proposed for improving the performance of a text recognition technique. Digital images of words are recognized and alternatives for the identity of each are...

A Hypothesis Testing Approach to Word Recognition Using Dynamic Feature Selection (1992)

Liang Li, Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

A top-down approach to word recognition is proposed. Discussions are presented on dynamically selecting the most effective feature combinations, which are applied to discriminate between a limited...

On multiple classifier systems for pattern recognition (1992)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

Difficult pattern recognition problems involving large class sets and noisy input can be solved by a multiple classifier system, which allows simultaneous use of arbitrary feature descriptors and...

A regression approach to combination of decisions by multiple character recognition algorithms (1992)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

A regression method is proposed to combine decisions of multiple character recognition algorithms. The method computes a weighted sum of the rank scores produced by the individual classifiers and...

Combination of decisions by multiple classifiers (1992)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

A technique for combining the results of classifier decisions in a multi-classifier recognition system is presented. Each classifier produces a ranking of a set of classes. The combination technique...

A word shape analysis approach to lexicon based word recognition (1992)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

A method for word recognition is presented that is based on an analysis of the shape of a word as a whole object. It is demonstrated to be a useful alternative for recognizing degraded word images...

Word Recognition with Multi-Level Contextual Knowledge (1991)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

A word recognition algorithm is proposed that integrates character recognition with word shape analysis. The algorithm consists of a set of serial filters and parallel classifiers, and the decisions...

A Word Shape Analysis Approach to Recognition of Degraded Word (1990)

Tin Kam Ho, Jonathan J. Hull, Sargur N. Srihari

This paper presents a word shape analysis approach for word recognition that is independent of character segmentation. The algorithm receives a word image and a lexicon. A set of global and local...

A Computational Theory of Visual Word Recognition (1988)

Jonathan J. Hull, Dr. Sargur N. Srihari

To An-Tzu, with love. Her understanding, advice, encouragement, and support made this possible. iii ACKNOWLEDGEMENTS I would like express my gratitude to the many people who in one way or another...

Optical character recognition techniques in mail sorting: a review of algorithms (1984)

Jonathan J. Hull, Ganapathy Krishnan, Paul Palumbo, Sargur N. Srihari

A study of Optical Character Recognition (OCR) techniques employed in automatic mail sorting equipment is presented. Methods and algorithms for image preprocessing, character recognition, and...