WO2002086806A1 - Verfahren zur kennzeichnung von gespeicherter information - Google Patents
Verfahren zur kennzeichnung von gespeicherter information Download PDFInfo
- Publication number
- WO2002086806A1 WO2002086806A1 PCT/EP2002/002171 EP0202171W WO02086806A1 WO 2002086806 A1 WO2002086806 A1 WO 2002086806A1 EP 0202171 W EP0202171 W EP 0202171W WO 02086806 A1 WO02086806 A1 WO 02086806A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- labeling
- proposal
- suggestions
- processor
- patterns
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/40—Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
Definitions
- the invention relates to a method for marking patterns according to the preamble of patent claim 1.
- Manually labeling samples is a time-consuming and expensive process. In order to accelerate this process, methods are used that generate a labeling proposal. The processor must either accept the proposal or modify it if the proposal is incorrect. Labeling methods are used in particular in classification processes in which a set of parameters for identifying objects is determined using training examples. The training data record must cover all boundary conditions of the recognition task. For the recognition of street scenes, samples of a few thousand to ten thousand manually processed images are required, which contain all potentially occurring object classes, e.g. cars, trucks, two-wheelers, pedestrians, weather conditions etc. From the processing of colored video images, a method is known in which an object, for example a tree, is manually identified in an image sequence in the first image (JR Ohm, P.
- a method is known (AK Jain, Yu Zhong, S. Lakshamanan, "Object matching using deformable templates", IEEE Trans, on Pattern Analysis and Machine Intelligence, Vol. 18, No. 3, March 1996, p. 267-278 ), in which a database of automatically generated contour patterns is used to identify objects (patterns) in image data.
- the contour patterns are automatically adapted to the objects and superimposed on them.
- the image data together with the overlays by the contour patterns are then displayed to a viewer on a screen.
- the object of the invention is to find a novel method for the automatic marking of patterns, which guarantees an optimized coincidence of the pattern and marking.
- the invention has the advantage that in the automatic generation of labeling suggestions, even with incorrect suggestions due to the mass of the samples to be labeled, a large amount of time is saved in labeling. It is also advantageous that automatic methods are used for the generation of the labeling suggestions, which can be very time-consuming and computationally expensive, since the labeling suggestions can be generated independently of the labeling process.
- the generated labeling suggestions are up to the test saved by the processor in a database and imported to the processor during labeling.
- the pattern to be identified is available in electronic form in a computer system.
- the pattern is e.g. recorded with a camera or a document is scanned into a computer.
- Acoustic patterns that are available in electronic form are also identified.
- a labeling proposal is created for the sample. This proposal can be generated separately from the actual labeling process, for example when the method for generating the proposal is very time-consuming. However, it is also possible to generate the proposal during the labeling process, for example when the method is able to generate the proposals in real time or almost in real time.
- the processor uses a computer program to display the sample and the proposed label in a suitable form on a display.
- the archetype is displayed, together with the proposed marking, which is shown in the form of a closed line, for example.
- the line is superimposed on the archetype so that the processor can see both.
- the processor accepts the proposal and stores it in the system as an indicator. If the proposal is too imprecise, there are several options. On the one hand, the processor himself will delete (or modify) the wrong suggestion and create his own labeling suggestion manually. On the other hand, it is possible that the processor rejects the proposal.
- the proposal is then used as the basis for a further procedure in order to arrive at a correct labeling proposal. It is also possible to delete the proposal completely and to try to generate a suitable proposal with a more complex process.
- the labeling process is carried out over the Internet.
- a device according to the invention for carrying out the method can advantageously be regarded as a two-part system consisting of a server system and a processing device.
- the server system has a device for storing patterns, a unit for generating labeling suggestions for the stored patterns, a memory for storing the labels assigned to the patterns, and a communication device for communicating with a processing device for evaluating and processing the labeling suggestions .
- the processing device for evaluating and processing labeling suggestions for the samples is designed in such a way that it includes a display for displaying the samples and the associated labeling suggestions and an input unit for entering the assessment of the labeling of the sample and / or for deleting or modifying the labeling.
- the processing device has a communication unit for communication with a server system for storing patterns and labels, and for generating labeling suggestions. With the aim of running as many labeling processes as possible at the same time, it is profitable if the server system is connected to a plurality of processing devices.
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Evolutionary Biology (AREA)
- Physics & Mathematics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Processing (AREA)
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/469,611 US7519237B2 (en) | 2001-03-02 | 2002-02-28 | Method for characterizing stored information |
JP2002584249A JP2004527048A (ja) | 2001-03-02 | 2002-02-28 | 記録情報の同定方法 |
EP02737874A EP1364337A1 (de) | 2001-03-02 | 2002-02-28 | Verfahren zur kennzeichnung von gespeicherter information |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE10110275.5 | 2001-03-02 | ||
DE10110275A DE10110275A1 (de) | 2001-03-02 | 2001-03-02 | Verfahren zur Kennzeichnung von gespeicherter Information |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2002086806A1 true WO2002086806A1 (de) | 2002-10-31 |
Family
ID=7676198
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2002/002171 WO2002086806A1 (de) | 2001-03-02 | 2002-02-28 | Verfahren zur kennzeichnung von gespeicherter information |
Country Status (5)
Country | Link |
---|---|
US (1) | US7519237B2 (de) |
EP (1) | EP1364337A1 (de) |
JP (1) | JP2004527048A (de) |
DE (1) | DE10110275A1 (de) |
WO (1) | WO2002086806A1 (de) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102004009541A1 (de) * | 2004-02-23 | 2005-09-15 | Iris-Gmbh Infrared & Intelligent Sensors | Benutzersteuerbares Erfassungssystem |
WO2007101452A1 (de) * | 2006-03-09 | 2007-09-13 | Siemens Aktiengesellschaft | Verfahren und objektbearbeitungssystem zum erstellen eines modells eines objektes |
JPWO2007105651A1 (ja) * | 2006-03-10 | 2009-07-30 | パナソニック株式会社 | 環境影響部材購入装置および環境影響部材購入システム |
US8031981B2 (en) * | 2007-12-21 | 2011-10-04 | Daon Holdings Limited | Method and systems for generating a subset of biometric representations |
DE102009009904A1 (de) | 2009-02-20 | 2009-10-15 | Daimler Ag | Verfahren zur Identifizierung von Objekten |
DE102015007299A1 (de) | 2015-06-03 | 2015-12-17 | Daimler Ag | Verfahren zur Klassifikation von Objekten |
DE102018010039A1 (de) | 2018-12-19 | 2020-06-25 | Daimler Ag | Verfahren zur Erkennung von mindestens einem Muster in einer Umgebung eines Fahrzeugs, Steuergerät zum Ausführen eines solchen Verfahrens, sowie Fahrzeug mit einem solchen Steuergerät |
DE102019004075A1 (de) | 2019-06-08 | 2020-01-02 | Daimler Ag | Verfahren zum Bestimmen einer Relevanz eines Objekts in einer Umgebung eines Kraftfahrzeugs mittels eines Fahrerassistenzsystems sowie Fahrerassistenzsystem |
Family Cites Families (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS60196856A (ja) * | 1984-03-20 | 1985-10-05 | Olympus Optical Co Ltd | 画像検索登録装置 |
JP2735187B2 (ja) * | 1987-03-17 | 1998-04-02 | 株式会社東芝 | 情報検索方法 |
DE69028573T2 (de) * | 1989-05-31 | 1997-03-27 | Toshiba Kawasaki Kk | Hochgeschwindigkeitssuchsystem zur Bilddatenspeicherung |
US5179652A (en) * | 1989-12-13 | 1993-01-12 | Anthony I. Rozmanith | Method and apparatus for storing, transmitting and retrieving graphical and tabular data |
US5202828A (en) * | 1991-05-15 | 1993-04-13 | Apple Computer, Inc. | User interface system having programmable user interface elements |
EP0514688A2 (de) * | 1991-05-21 | 1992-11-25 | International Business Machines Corporation | Generalisierte Gestaltautokorrelation zur Ermittlung und Erkennung von Gestalt |
US5189709A (en) * | 1991-08-26 | 1993-02-23 | The United States Of America As Represented By The United States National Aeronautics And Space Administration | Dynamic pattern matcher using incomplete data |
US5606693A (en) * | 1991-10-02 | 1997-02-25 | International Business Machines Corporation | Distributed database management over a network |
US5421008A (en) * | 1991-11-08 | 1995-05-30 | International Business Machines Corporation | System for interactive graphical construction of a data base query and storing of the query object links as an object |
US7242988B1 (en) * | 1991-12-23 | 2007-07-10 | Linda Irene Hoffberg | Adaptive pattern recognition based controller apparatus and method and human-factored interface therefore |
US5579471A (en) * | 1992-11-09 | 1996-11-26 | International Business Machines Corporation | Image query system and method |
US6002798A (en) * | 1993-01-19 | 1999-12-14 | Canon Kabushiki Kaisha | Method and apparatus for creating, indexing and viewing abstracted documents |
US5600831A (en) * | 1994-02-28 | 1997-02-04 | Lucent Technologies Inc. | Apparatus and methods for retrieving information by modifying query plan based on description of information sources |
US5809171A (en) * | 1996-01-05 | 1998-09-15 | Mcdonnell Douglas Corporation | Image processing method and apparatus for correlating a test image with a template |
US5893095A (en) * | 1996-03-29 | 1999-04-06 | Virage, Inc. | Similarity engine for content-based retrieval of images |
US5696964A (en) * | 1996-04-16 | 1997-12-09 | Nec Research Institute, Inc. | Multimedia database retrieval system which maintains a posterior probability distribution that each item in the database is a target of a search |
US5852823A (en) * | 1996-10-16 | 1998-12-22 | Microsoft | Image classification and retrieval system using a query-by-example paradigm |
JPH10326286A (ja) * | 1997-05-27 | 1998-12-08 | Mitsubishi Electric Corp | 類似検索装置及び類似検索プログラムを記録した記録媒体 |
JP4098880B2 (ja) * | 1997-06-06 | 2008-06-11 | 松下電器産業株式会社 | 情報検索装置 |
JP3166905B2 (ja) * | 1997-07-02 | 2001-05-14 | インターナショナル・ビジネス・マシーンズ・コーポレ−ション | パターンマッチングによる画像処理方法およびシステム |
US6415282B1 (en) * | 1998-04-22 | 2002-07-02 | Nec Usa, Inc. | Method and apparatus for query refinement |
US6154567A (en) * | 1998-07-01 | 2000-11-28 | Cognex Corporation | Pattern similarity metric for image search, registration, and comparison |
US6564206B1 (en) * | 1998-10-05 | 2003-05-13 | Canon Kabushiki Kaisha | Information search apparatus and method, and storage medium |
US6256409B1 (en) * | 1998-10-19 | 2001-07-03 | Sony Corporation | Method for determining a correlation between images using multi-element image descriptors |
US6347313B1 (en) * | 1999-03-01 | 2002-02-12 | Hewlett-Packard Company | Information embedding based on user relevance feedback for object retrieval |
US6510406B1 (en) * | 1999-03-23 | 2003-01-21 | Mathsoft, Inc. | Inverse inference engine for high performance web search |
US6275613B1 (en) * | 1999-06-03 | 2001-08-14 | Medsim Ltd. | Method for locating a model in an image |
US6445822B1 (en) * | 1999-06-04 | 2002-09-03 | Look Dynamics, Inc. | Search method and apparatus for locating digitally stored content, such as visual images, music and sounds, text, or software, in storage devices on a computer network |
US6674915B1 (en) * | 1999-10-07 | 2004-01-06 | Sony Corporation | Descriptors adjustment when using steerable pyramid to extract features for content based search |
US7389208B1 (en) * | 2000-06-30 | 2008-06-17 | Accord Solutions, Inc. | System and method for dynamic knowledge construction |
US6748398B2 (en) * | 2001-03-30 | 2004-06-08 | Microsoft Corporation | Relevance maximizing, iteration minimizing, relevance-feedback, content-based image retrieval (CBIR) |
-
2001
- 2001-03-02 DE DE10110275A patent/DE10110275A1/de not_active Ceased
-
2002
- 2002-02-28 US US10/469,611 patent/US7519237B2/en not_active Expired - Lifetime
- 2002-02-28 WO PCT/EP2002/002171 patent/WO2002086806A1/de active Application Filing
- 2002-02-28 EP EP02737874A patent/EP1364337A1/de not_active Withdrawn
- 2002-02-28 JP JP2002584249A patent/JP2004527048A/ja not_active Abandoned
Non-Patent Citations (2)
Title |
---|
"OPTISCHE LERNKURVEN", MESSEN UND PRUFEN, IVA INTERNATIONAL, MUNCHEN, DE, vol. 35, no. 5, May 1999 (1999-05-01), pages 32 - 34,36, XP000896548, ISSN: 0937-3446 * |
MILLS S A ET AL: "Pattern recognition prototyping tool", IMAGE PROCESSING, 1997. PROCEEDINGS., INTERNATIONAL CONFERENCE ON SANTA BARBARA, CA, USA 26-29 OCT. 1997, LOS ALAMITOS, CA, USA,IEEE COMPUT. SOC, US, 26 October 1997 (1997-10-26), pages 312 - 315, XP010253721, ISBN: 0-8186-8183-7 * |
Also Published As
Publication number | Publication date |
---|---|
US7519237B2 (en) | 2009-04-14 |
DE10110275A1 (de) | 2002-09-19 |
US20040111434A1 (en) | 2004-06-10 |
EP1364337A1 (de) | 2003-11-26 |
JP2004527048A (ja) | 2004-09-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
DE19718805C2 (de) | Verfahren und Anordnung zum Erkennen von Verteilinformationen | |
DE10034606B4 (de) | Verfahren zur Bereitstellung von fertigungsbezogenen Daten in einer Serienfertigung von Fertigungsobjekten, insbesondere von Kraftfahrzeugen | |
DE19624977A1 (de) | Verfahren zur Verarbeitung von Postsachen | |
DE102019209560A1 (de) | Vorrichtung und Verfahren zum Trainieren eines neuronalen Netzwerks | |
DE102012206037A1 (de) | Lernverfahren zur automatisierten Erkennung von Verkehrszeichen, Verfahren zur Bestimmung eines aktualisierten Parametersatzes für eine Klassifikation von einem Verkehrszeichen und Verkehrszeichenerkennungssystem | |
EP3948688A1 (de) | Training für künstliche neuronale netzwerke mit besserer ausnutzung der lern-datensätze | |
WO2002086806A1 (de) | Verfahren zur kennzeichnung von gespeicherter information | |
DE102019204602B4 (de) | Verfahren und Vorrichtung zur Maskierung von in einem Bild enthaltenen Objekten | |
CN112800972A (zh) | 文字识别方法及装置、存储介质 | |
DE102018113621A1 (de) | Verfahren zum Trainieren eines konvolutionellen neuronalen Netzwerks zum Verarbeiten von Bilddaten zur Anwendung in einem Fahrunterstützungssystem | |
DE102008059229A1 (de) | Verfahren zum Ausrichten eines Behälters | |
DE102008057979B4 (de) | Lerneinheit für ein Objekterkennungssystem und Objekterkennungssytem | |
DE102009009904A1 (de) | Verfahren zur Identifizierung von Objekten | |
DE1549893A1 (de) | Verfahren und Anordnung zur elektronischen Klassierung von Bildvorlagen | |
DE102019127565A1 (de) | Verfahren und Vorrichtung zum Verarbeiten von Bildern | |
DE102018205409A1 (de) | Verfahren, Vorrichtung, Computerprogramm und Computerprogrammprodukt zum Annotieren eines Bildes | |
DE102019208864A1 (de) | Erkennungssystem, Arbeitsverfahren und Trainingsverfahren | |
EP4121897B1 (de) | Verfahren und systeme zum bereitstellen von synthetischen gelabelten trainingsdatensätzen und ihre anwendungen | |
WO2024132949A1 (de) | Verfahren und system zum kriterienbasierten extrahieren von bilddaten | |
EP1202212A1 (de) | Verfahren zur Erfassung des vollständigen Datensatzes mit Schriftzeichen versehener Formulare | |
DE102022209248A1 (de) | Anonymisieren von Bilddaten | |
DE102020114909A1 (de) | Optimierung des Zusammenwirkens unterschiedlicher Datenbanken | |
DE102022118492A1 (de) | Verfahren zum Erkennen von zum Herstellen von Produkten vorgesehenen Objekten, elektronische Recheneinrichtung, Computerprogramm sowie computerlesbares Medium | |
DE102021127958A1 (de) | Computerimplementiertes Verfahren zum Training einer künstlichen Intelligenz | |
DE102019133905A1 (de) | Verfahren zum Kennzeichnen von manipulierten Bildern oder Videos |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AK | Designated states |
Kind code of ref document: A1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BR BY BZ CA CH CN CO CR CU CZ DK DM DZ EC EE ES FI GB GD GE GH GM HR HU ID IL IN IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MA MD MG MK MN MW MX MZ NO NZ OM PH PL PT RO RU SD SE SG SI SK SL TJ TM TN TR TT TZ UA UG US UZ VN YU ZA ZM ZW |
|
AL | Designated countries for regional patents |
Kind code of ref document: A1 Designated state(s): GH GM KE LS MW MZ SD SL SZ TZ UG ZM ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH CY DE DK ES FI FR GB GR IE IT LU MC NL PT SE TR BF BJ CF CG CI CM GA GN GQ GW ML MR NE SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
DFPE | Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101) | ||
WWE | Wipo information: entry into national phase |
Ref document number: 2002737874 Country of ref document: EP Ref document number: 2002584249 Country of ref document: JP |
|
WWP | Wipo information: published in national office |
Ref document number: 2002737874 Country of ref document: EP |
|
WWE | Wipo information: entry into national phase |
Ref document number: 10469611 Country of ref document: US |