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System and method for visual annotation and knowledge representation

a visual annotation and knowledge representation technology, applied in the field of visual annotation and knowledge representation, can solve the problems of large drawbacks of rub-on labels, high cost, and complicated, and achieve the effects of reducing the number of images

Inactive Publication Date: 2008-06-12
GOEDE PATRICIA ANNE +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Authors of digital material are finding that creating, presenting, and cataloging digital images is a difficult task despite the technologic improvements.
Annotating visual media has evolved from scratch-on LETRASET® dry transfer labeling to using expensive, sophisticated and complicated image manipulation computer software like ADOBE® PHOTOSHOP® or MACROMEDIA® FREEHAND® software.
While rub-on labels certainly have large drawbacks, i.e., they cannot be used for annotating digital images, they embody the simplicity of annotating an image quickly with the necessary information.
Moreover, the previously available systems and methods do not promote interactivity with a user, neither in their output nor in their presentation.
Thus, simplicity, interactivity and low cost continue as unsatisfied objectives for the process of effectively annotating visual digital material despite technologic improvements.
Not only is most image manipulation software functional overkill for creating simple annotations, this software flattens images where the annotations are “fixed” to the image much like rub-on labels.
The flattening of image annotations causes several problems that also existed with rub-on labels: editing difficulties, poor image quality, lack of interactivity and information loss.
Annotations are not easily edited in a flattened image.
As the raster annotations are re-scaled (zoom in or out) their appearance often become incomprehensible.
Flattening of annotations to an image means not only that the annotations cannot be scaled accordingly, it means that the annotations cannot be manipulated in other ways, such as, creating interactive presentations for the purpose of communicating a visual relationship or integrating the annotations into a learning assessment tool.
Additionally, If these images are being viewed on the Internet it would mean three times longer wait in addition to the labor and disk space utilized in producing three images.
The fourth and possibly the most significant problem arising from flattened annotations is the loss of information.
However, annotations that are flattened to the image are not available for cataloging.
This de-coupling of content from the image and re-entry of the annotations into a separate storage system which is required when using the previously available systems and methods results in a more labor intensive, complex and disjoint procedure.
Another disadvantage to using a flattened image is the inability to allow multispecialty authoring.
Using a flattened image, this would be extremely difficult.
Another drawback to flattened images is that it is difficult to modify annotated images to make them context appropriate.
Annotated images often contain annotations that are not appropriate for the persons viewing the image for a variety of reasons.
Removing or hiding from view the annotations from a flattened image is not efficient due to the fact that the annotations are embedded in the image.
Still another drawback to the use of flattened images is the difficulty in reusing the annotated image.

Method used

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  • System and method for visual annotation and knowledge representation
  • System and method for visual annotation and knowledge representation
  • System and method for visual annotation and knowledge representation

Examples

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example 1

[0094]A neurosurgeon reviews a volume rendered set of MRI data that indicates the patient has an aneurysm. The neurosurgeon visually annotates a region of interest and adds a clinical note that is linked to the region of interest. The neurosurgeon identifies a previously undetected aneurysm and marks that region for consult with the neuroradiologist. The annotated image set may be sent to, or checked back into radiology imaging system with the annotations and added expert content linked to the three-dimensional model. The surgeon calls the radiologist for a consult on the second aneurysm prior to sending the patient to surgery. The radiologist adds a clinical note that confirms the additional diseased region of interest without destroying the original information that was added by the surgeon. The neurosurgeon consults with the patient, outlining the second aneurysm prior to the surgery. Other neurosurgeons and radiologists, with the appropriate permissions, may check out the visual...

example 2

[0095]An investigator proceeds with an experiment which involves staining serial sections of a primate retina with three neurotransmitters to determine what cells interact with the neurotransmitters and the levels of interaction. The scientist discovers that one neurotransmitter affects all cell types and proceeds to cut serial sections of the tissue and combine them into a three dimensional surface rendering that maps the neurotransmitters and cells that are affected. The scientist visually annotates one of the synaptic ribbons that is formed within the secondary neuron framework and adds an expert interpretation of the synaptic interaction. The scientist sends the image to a colleague for an additional expert opinion of the structures. The colleague makes visual notes on the image set (without destroying or altering the underlying image set). The visual note is comprised of lines, polygons and points with associated text-based symbols and descriptions that outline an area on the i...

example 3

[0096]A plant biologist receives digital electron photographs / images (EM) of a stained tissue sample from a diseased plant. The plant biologist draws shapes (polygons, lines or edges, and points), pointers and textual symbols and descriptions with the visual annotation technology to indicate a region of interest and communicate expert understanding / interpretation of the EM images. This annotated image may be sent to, or checked back into a cataloging system at an agricultural center to be viewed by other individuals. Other plant biologists, with the appropriate permissions, may check out the image and visual annotation set for review as reference or further multi-user annotation. The annotated image may also be used for print output for a publication or sent electronically (email, Internet) to other experts for consultation. Such visual assets may later be used for time-based comparisons of the same area or as supporting material in a legal proceeding.

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Abstract

A method and system for visually annotating an image. Annotations and notes to images, such as digital medical and healthcare images, may be stored in a structured vector representation alongside image information in a single, non-volatile and portable file or in a separate file from the image. The annotations may be composed of point, line and polygon drawings and text symbols, labels or definitions and captions or descriptions. The annotations may be structured in a manner that facilitates grouping and manipulation as user defined groups. The annotations may be related to an image but not inextricably bound such that the original image is completely preserved. Annotations may further be selectively displayed on the image for context appropriate viewing. The annotations may be retrieved for purposes such as editing, printing, display, indexing and reporting for example, and may be displayed on an image for interactive use with an embedded self-contained user interface.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application is a divisional application of U.S. application Ser. No. 10 / 516,554, filed Nov. 30, 2004, which claims the benefit of PCT / US03 / 17138, filed May 31, 2003, which claims the benefit of U.S. Provisional Application No. 60 / 384,703, filed on May 31, 2002, which applications are hereby incorporated by reference herein in their entireties, including but not limited to those portions that specifically appear hereinafter.STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT[0002]Not Applicable.REFERENCE TO A COMPUTER PROGRAM LISTING APPENDIX[0003]A Computer Program Listing Appendix is submitted herewith on one compact disc and one duplicate compact disc. The total number of compact discs including duplicates is two. The files saved on the compact disc is an ASCII text file. Their names, dates of creation, directory locations, and sizes in bytes are:File NameDate CreatedSizeAppendix_1.txt10 Dec. 20079.01KBAppendix_2.txt10 ...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G09G5/00G06F17/24G06T11/60G06T17/40
CPCG06F17/241G06F17/30265G06F17/30271G06F17/3028G06T2219/004G06T11/60G06T19/00G06T2210/41G06F19/321G16H30/40G06F16/51G06F16/56G06F16/58G06F40/169
Inventor GOEDE, PATRICIA ANNELAUMAN, JASON R.COCHELLA, CHRISTOPHER
Owner GOEDE PATRICIA ANNE
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