US20060090123A1 - System and method for acquisition and storage of presentations - Google Patents

System and method for acquisition and storage of presentations Download PDF

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Publication number
US20060090123A1
US20060090123A1 US10/973,698 US97369804A US2006090123A1 US 20060090123 A1 US20060090123 A1 US 20060090123A1 US 97369804 A US97369804 A US 97369804A US 2006090123 A1 US2006090123 A1 US 2006090123A1
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United States
Prior art keywords
image
presentation
signal
video
association
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Abandoned
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US10/973,698
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English (en)
Inventor
Laurent Denoue
Jonathan Trevor
David Hilbert
John Adcock
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujifilm Business Innovation Corp
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Fuji Xerox Co Ltd
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Publication date
Application filed by Fuji Xerox Co Ltd filed Critical Fuji Xerox Co Ltd
Priority to US10/973,698 priority Critical patent/US20060090123A1/en
Assigned to FUJI XEROX CO., LTD. reassignment FUJI XEROX CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ADCOCK, JOHN E., DENOUE, LAURENT, HILBERT, DAVID M., TREVOR, JONATHAN J.
Priority to JP2005311276A priority patent/JP2006127518A/ja
Publication of US20060090123A1 publication Critical patent/US20060090123A1/en
Priority to US12/482,315 priority patent/US9875222B2/en
Abandoned legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G06F40/169—Annotation, e.g. comment data or footnotes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43—Querying
    • G06F16/438—Presentation of query results
    • G06F16/4387—Presentation of query results by the use of playlists
    • G06F16/4393—Multimedia presentations, e.g. slide shows, multimedia albums
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/48—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53—Querying
    • G06F16/538—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24573—Query processing with adaptation to user needs using data annotations, e.g. user-defined metadata
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/44—Browsing; Visualisation therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/44—Browsing; Visualisation therefor
    • G06F16/447—Temporal browsing, e.g. timeline
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/71—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/93—Document management systems
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/912—Applications of a database
    • Y10S707/913—Multimedia
    • Y10S707/914—Video

Definitions

  • the present invention relates generally to processing and storing images. More particularly it relates to extracting information from video presentations and storing the video presentations for later use.
  • the media e.g slides, video, audio
  • the media e.g slides, video, audio
  • This limitation is especially troublesome as these presentations may be the only broadly accessible documents through which certain types of gathered information are available.
  • presentation software is usually unable to solicit input from the viewers of the presentation, limiting the presentation to a passive experience.
  • Embodiments of the present invention enable the extraction, classification, storage, and supplementation of presentation video.
  • a media system receives a signal carrying presentation video.
  • the media system processes the signal and generates images for slides of the presentation.
  • the media system then extracts text from the images and uses the text and other characteristics to classify the images and store them in a database. Additionally, the system enables viewers of the presentation to provide feedback on the presentation, which can be used to supplement the presentation.
  • FIG. 1 is a block diagram illustrating one embodiment of interaction among a computer system, a media system, and a display device;
  • FIG. 2 is a block diagram illustrating an alternate embodiment of interaction among a computer system, a media system, and a display device;
  • FIG. 3 is a block diagram illustrating a closer view of a media system in accordance with one embodiment of the present invention
  • FIG. 4 is a block diagram illustrating one embodiment of categorization information for stored video
  • FIG. 5 is a flow chart illustrating a process for handling presentation video input from a computer system
  • FIG. 6 is a flow chart illustrating a process for categorizing and storing video input
  • FIG. 7 is a flow chart illustrating a process for supplementing presentations with user input
  • FIG. 8 is a flow chart illustrating a process for utilizing stored content in new presentations.
  • Embodiments of the present invention enable the extraction, classification, storage, and supplementation of presentation video.
  • a media system receives a signal carrying presentation video.
  • the media system processes the signal and generates images for slides of the presentation.
  • the media system then extracts text from the images and uses the text and other characteristics to classify the images and store them in a database.
  • the present system automates the process of detecting, capturing, interpreting, and storing presentations.
  • the system can detect when a presentation is beginning and initiate a process that detects whether content is static or dynamic and stores and classifies it accordingly.
  • the system can also modify the content for ease of organization and distribution, distribute the content to viewers in an original or modified format, and end operations when a presentation is no longer detected.
  • the steps above can be performed without any direct user commands to start and stop operations or any user sorting/separation/organization of the media.
  • FIG. 1 is a block diagram illustrating one embodiment of interaction among a computer system, a media system, and a display device.
  • a computer system 105 such as a laptop computer, desktop computer, tablet system, or any other type of computer, is connected to a video splitter 110 .
  • the computer system 105 transmits an output video signal to the splitter 110 , which splits the video signal and outputs it to the media system 115 and the display device 120 .
  • the video signal can be digital or analog and can comprise any number of signal formats.
  • the video signal can also be a data signal containing video information, such as a Virtual Network Computing (VNC) signal.
  • VNC Virtual Network Computing
  • the splitter can also perform conversion of a data signal to a video signal.
  • the display device 120 is a device used to display the video output to viewers of the presentation.
  • the display device can be a Liquid Crystal Display (LCD) projector, analog projector, a Cathode Ray Tube(CRT) display, an LCD display or any other type of display.
  • LCD Liquid Crystal Display
  • CRT Cathode Ray Tube
  • the media system 115 receives the video output from the splitter 1 10 , uses it to generate audio and video media for the presentation, and extract relevant information from the media.
  • the media system 115 is a conventional computer using specialized software, in alternate embodiments, the media system 115 is a computer specially configured to function as a media system.
  • the media system is also configured to collect audio through a microphone or other input. The audio can be stored in association with the presentation images and video.
  • FIG. 2 is a block diagram illustrating an alternate embodiment of interaction among a computer system, a media system, and a display device.
  • the media system 115 sits between the computer system and the display device 120 .
  • the media system processes the video signal, generates slide images and displays the generated slide images on the display device 120 .
  • the media system 115 may also accept image overlays and supplements, or other modifications, and output them to the display device 120 .
  • the overlays can be generated by an automatic agent such as a translator program that automatically translates the text of the presentation.
  • the media system 115 can also include a “pass-through” mode where the input video signal is passed directly, without modification, to the output device 120 .
  • FIG. 3 is a block diagram illustrating a closer view of a media system 115 in accordance with one embodiment of the present invention.
  • the media system 115 includes a video capture module 305 , an image sampling module 310 , an image converter 315 , an update module 320 , a text extraction module 325 , a database 330 , and an input/output module 335 . These components may be implemented through any combination of hardware, software, and firmware.
  • the video capture module 305 receives the video signal from the splitter 110 or computer system 105 .
  • the image sampling module 310 generates slide images from the video captured by the video capture module. In one embodiment, the image sampling module detects if a particular image has been broadcast steadily for a predetermined amount of time and treats it as a single slide. Alternately, continuous video is recorded in full. If the sampling module 310 determines that the image is a slide it generates a bitmap for the image. If it determines that the media is video, a video recording of either the whole capture or a segment of the window that contains video, is captured.
  • the image converter 315 may optionally convert the bitmap to a more size efficient format such as JPEG or another format.
  • An update module 320 is configured to generate categorization information for media and to store the media, with the categorization information, in the database 330 .
  • the update module 320 first utilizes the text extraction module 325 , which detects text in the image and provides the text to the update module.
  • the categorization information can include date/time information for the presentation, an identifier for the particular presentation being shown, characteristics of the image, supplemental information received from either the presenter or the viewers, and text within the image. Some categorization information is generated after the presentation has been recorded while some categorization information is generated in real time.
  • the input/output module 335 is used to generate an interface for configuring the media system 115 .
  • the interface can be a console interface on the media system 115 itself, graphical user interface that is accessed through input/output devices such as a keyboard and monitor that are connected to the media system, or a web interface that is accessed over a network.
  • the input/output module 335 can also be used to transmit overlays and video supplements to the media system 115 , which uses the overlays to modify the image.
  • the input/output module comprises a web server running on the media system 115 . By viewing an interface page on the web server, viewers of the presentation can submit questions and comments as overlays for the presentation.
  • the web server can also be used as an interface for submitting search queries for images stored in the database 330 .
  • FIG. 4 is a block diagram illustrating one embodiment of categorization information 400 for stored media.
  • the categorization information 400 includes metadata 402 and classification information 418 .
  • the metadata 402 is preferably stored in association with the media and is generated when the media is first captured.
  • the classification information 418 can be stored in association with the media or centrally.
  • the classification information 418 is often generated after a presentation rather than in real-time.
  • the metadata includes content information 405 .
  • the content information indicates whether the stored video comprises a single slide image, a video clip containing continuous video, audio, or some other type of media.
  • the metadata additionally includes text information 410 .
  • the text information 410 includes text that has been extracted from the slide image by the text extraction module 325 .
  • the information can include all of the text or particular key words that were designated as representative words for searches.
  • the text information 410 can include weights or other information indicating the importance of particular text in the slides.
  • the text extraction module 325 can be programmed to recognize title text or section headings and give that text greater importance in classifying the slide image.
  • the metadata additionally includes video characteristics 415 .
  • the video characteristics include image characteristics that are extracted from the slide image. These can include colors or distinctive shapes or other image qualities.
  • the metadata additionally includes supplemented information 425 .
  • the supplemented information includes overlays and other information that is provided by a presenter, automatic agent, or the audience during a presentation.
  • the classification information 418 can include an identifier for the presentation from which the image is extracted. It may also include time and date information for the presentation. For example, all of the video or slides for a single presentation would include the same identifier within the classification information 418 . Presentation data can also be grouped by meeting or day with all of the presentation data for a single meeting or day classified associatively. Artificial categorizations that associate presentations that are related in other ways can also be added.
  • the categorization information 400 can be used by an associated search utility to retrieve presentation content in response to submitted search requests.
  • Users of the search utility can search according to content or organizational data (i.e. when a presentation was shown, content shown at a meeting or presentation) and the search utility will return media, complete presentations, or sections of presentations matching the search request.
  • FIG. 5 is a flow chart illustrating a process for handling presentation video input from a computer system.
  • the media system 115 accepts presentation video and/or audio, preferably through the video capture module 305 .
  • the system can detect when a presentation has begun by analyzing an incoming video stream and detecting characteristics indicative of a presentation. This process can also be used to stop recording when the detected video characteristics indicate that a presentation is no longer being transmitted.
  • the media system extracts the presentation information. This step includes the determination of what type of media is being presented, the extraction of slide images or video streams from the video, the conversion of the slide images to JPEGs, and the extraction of text from the image. This step is described in greater detail with respect to FIG. 6 .
  • This step may also include the extraction of video streams and audio streams.
  • This step can also include analysis of audio content, for changes in volume, detection of words through speech to text extraction, and any other useful or relevant characteristics of the audio. Audio content can be classified according to characteristics of the audio, characteristics of video detected at the same time, or both.
  • the system can use a variety of methods for categorizing the input received from the video signal and categorizing it accordingly. Usually the system will analyze a predetermined number of consecutive frames and categorize it appropriately. In one embodiment, the system detects a slide or other stable presentation by detecting unchanging video frames for more than a predetermined amount of time.
  • Video can be detected in a similar manner.
  • the system computes the difference between a series of consecutive frames. The system checks for a region in the series of frames in which the frames are always changing (the difference between successive frames is not null). If it finds a region that changes continually it determines that a video clip is playing. In some embodiments, the system can crop the sections of the frames that are not changing. In alternate embodiments, the entire frame is cropped.
  • the media which can include video, slides, or audio, is stored in association with the presentation information of FIG. 4 .
  • the presentation information is supplemented with overlays. These overlays can be received from the presenter, an automatic agent, or the audience through the web server generated by the input/output module.
  • the presenter can accept questions from audience members through a network interface. The questions can be overlayed on the slide image.
  • the supplemented image is output to the display device 120 .
  • FIG. 6 is a flow chart illustrating a process for categorizing and storing video input.
  • the system accepts media input.
  • the media input is received through the video capture module 305 .
  • the image sampling module 310 extracts content from the video stream.
  • the image sampling module 612 determines a type for the content. For example, video clips can be identified if a section of the image changes continuously and stored as continuous segments.
  • the image sampling module 310 checks for images that are displayed continuously for a predetermined amount of time, designates those images as static images, and generates bitmaps for the images. The system can apply other criteria as well.
  • the font size of any text in the image is used, with larger text indicating a greater likelihood that the image is a slide.
  • the image sampling module can also extract audio from the media stream, to be stored in association with video or images captured concurrently.
  • step 615 the image converter 315 converts the content to more compact format, such as GIF or JPEG for images, or MPEG for video. This step is optional, and in some embodiments, the image is stored in an uncompressed form.
  • step 620 the update module 320 generates a new entry in the database 330 . The entry is created with initial categorization information such as the content type 405 for the media and video characteristics 415 .
  • the update module 320 utilizes the text extraction module 325 to extract text from the image or video.
  • the text can include weights or other information indicating the importance of particular text in the slides.
  • the text extraction module 325 can be programmed to recognize title text or section headings and give that text greater importance in classifying the content.
  • the content is stored in the database 330 . This step also entails adding the extracted text and any other supplemental information.
  • FIG. 7 is a flow chart illustrating a process for supplementing presentations with user input.
  • the video signal is received by the video capture module 305 .
  • the presentation video is transmitted to the viewers of the presentation.
  • the media system 115 transmits special presentation display information over a network connection, which is received by the viewers at their terminals or computers, and is processed and displayed by an application on the recipients' computers.
  • the media system through the input/output module 335 accepts annotations from either the viewers or the presenter.
  • the annotations can be comments or supplemental overlays (drawings added to the slides through a mouse or writing tool). Alternately, the annotations can be questions or comments transmitted from the viewers. In some embodiments, the questions or comments are displayed in a preset section of the image.
  • step 725 the annotated presentation is displayed.
  • the annotations are displayed in real time.
  • the annotations are collected during the presentation and displayed when the presenter returns to an earlier stage of the presentation.
  • step 730 the slide image is stored in the database 330 with the annotations stored in the supplemented information 425 .
  • FIG. 8 is a flow chart illustrating a process for utilizing stored content in new presentations.
  • a user starts creation of a new slide presentation. In some embodiments, this presentation is generated on the computer system 105 .
  • An application module on the computer system is configured to detect the creation of a new presentation.
  • the application module is configured to access the database 330 on the media server 115 .
  • the application module according to the text input in the presentation determines search terms for the presentation.
  • the application uses the search terms, the application searches the database 330 for related content, cross-referencing the search terms with the identification information described in FIG. 4 .
  • the system provides images matching the search term and prompts a user to include them.
  • step 825 responsive to user acceptance, the search terms are included in the presentation.
  • the present invention may be conveniently implemented using a conventional general purpose or a specialized digital computer or microprocessor programmed according to the teachings of the present disclosure, as will be apparent to those skilled in the computer art.
  • the present invention includes a computer program product which is a storage medium (media) having instructions stored thereon/in which can be used to program a computer to perform any of the processes of the present invention.
  • the storage medium can include, but is not limited to, any type of disk including floppy disks, optical discs, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
  • the present invention includes software for controlling both the hardware of the general purpose/specialized computer or microprocessor, and for enabling the computer or microprocessor to interact with a human user or other mechanism utilizing the results of the present invention.
  • software may include, but is not limited to, device drivers, operating systems, and user applications.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Library & Information Science (AREA)
  • Television Signal Processing For Recording (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
US10/973,698 2004-10-26 2004-10-26 System and method for acquisition and storage of presentations Abandoned US20060090123A1 (en)

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US10/973,698 US20060090123A1 (en) 2004-10-26 2004-10-26 System and method for acquisition and storage of presentations
JP2005311276A JP2006127518A (ja) 2004-10-26 2005-10-26 プレゼンテーションの取得及び保存のためのシステムと方法
US12/482,315 US9875222B2 (en) 2004-10-26 2009-06-10 Capturing and storing elements from a video presentation for later retrieval in response to queries

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060250508A1 (en) * 2005-05-09 2006-11-09 Chia-Kai Chang Method for inserting a picture into a video frame
US20080007567A1 (en) * 2005-12-18 2008-01-10 Paul Clatworthy System and Method for Generating Advertising in 2D or 3D Frames and Scenes
US20080042923A1 (en) * 2006-08-16 2008-02-21 Rick De Laet Systems, methods, and apparatus for recording of graphical display
US20080183820A1 (en) * 2007-01-29 2008-07-31 Fuji Xerox Co., Ltd. Device Orchestration
US20080263010A1 (en) * 2006-12-12 2008-10-23 Microsoft Corporation Techniques to selectively access meeting content
US20080276159A1 (en) * 2007-05-01 2008-11-06 International Business Machines Corporation Creating Annotated Recordings and Transcripts of Presentations Using a Mobile Device
US20130036235A1 (en) * 2010-04-16 2013-02-07 Pablo Lopez Garcia Method of transmission of visual content
US8626487B2 (en) 2010-09-08 2014-01-07 Sharp Kabushiki Kaisha Translation apparatus, translation method, computer program, and recording medium

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9116989B1 (en) 2005-08-19 2015-08-25 At&T Intellectual Property Ii, L.P. System and method for using speech for data searching during presentations
US8977965B1 (en) 2005-08-19 2015-03-10 At&T Intellectual Property Ii, L.P. System and method for controlling presentations using a multimodal interface
US9026915B1 (en) 2005-10-31 2015-05-05 At&T Intellectual Property Ii, L.P. System and method for creating a presentation using natural language
US7904825B2 (en) * 2007-03-14 2011-03-08 Xerox Corporation Graphical user interface for gathering image evaluation information
JP4967950B2 (ja) * 2007-09-18 2012-07-04 富士ゼロックス株式会社 情報記録装置及びプログラム
US9177285B2 (en) * 2008-05-06 2015-11-03 Fuji Xerox Co., Ltd. Method and system for controlling a space based on media content
US9659335B2 (en) 2009-01-29 2017-05-23 Oracle International Corporation Sample management for a sales call
US9063806B2 (en) * 2009-01-29 2015-06-23 Oracle International Corporation Flex integration with a secure application
US9684736B2 (en) 2009-01-29 2017-06-20 Oracle International Corporation Communication handler for flex integration with a secure application
US9760381B2 (en) 2009-01-30 2017-09-12 Oracle International Corporation Configurable toolbar
US8762883B2 (en) 2009-01-30 2014-06-24 Oracle International Corporation Manipulation of window controls in a popup window
US8762448B2 (en) 2009-01-30 2014-06-24 Oracle International Corporation Implementing asynchronous processes on a mobile client
US8452640B2 (en) * 2009-01-30 2013-05-28 Oracle International Corporation Personalized content delivery and analytics
US8380487B2 (en) 2010-06-21 2013-02-19 International Business Machines Corporation Language translation of selected content in a web conference

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5848409A (en) * 1993-11-19 1998-12-08 Smartpatents, Inc. System, method and computer program product for maintaining group hits tables and document index tables for the purpose of searching through individual documents and groups of documents
US20010020954A1 (en) * 1999-11-17 2001-09-13 Ricoh Company, Ltd. Techniques for capturing information during multimedia presentations
US6332144B1 (en) * 1998-03-11 2001-12-18 Altavista Company Technique for annotating media
US6646655B1 (en) * 1999-03-09 2003-11-11 Webex Communications, Inc. Extracting a time-sequence of slides from video
US20040202349A1 (en) * 2003-04-11 2004-10-14 Ricoh Company, Ltd. Automated techniques for comparing contents of images
US20040247206A1 (en) * 2003-02-21 2004-12-09 Canon Kabushiki Kaisha Image processing method and image processing system
US20050078868A1 (en) * 2003-09-26 2005-04-14 William Chen Method and apparatus for summarizing and indexing the contents of an audio-visual presentation
US7010751B2 (en) * 2000-02-18 2006-03-07 University Of Maryland, College Park Methods for the electronic annotation, retrieval, and use of electronic images
US20060074895A1 (en) * 2004-09-29 2006-04-06 International Business Machines Corporation Method and system for extracting and utilizing metadata to improve accuracy in speech to text conversions
US7149755B2 (en) * 2002-07-29 2006-12-12 Hewlett-Packard Development Company, Lp. Presenting a collection of media objects
US7392469B1 (en) * 2003-05-19 2008-06-24 Sidney Bailin Non-intrusive commentary capture for document authors

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2965010B2 (ja) * 1997-08-30 1999-10-18 日本電気株式会社 関連情報検索方法及び装置並びにプログラムを記録した機械読み取り可能な記録媒体
US6404856B1 (en) * 1998-04-10 2002-06-11 Fuji Xerox Co., Ltd. System for recording, annotating and indexing audio data
US6654735B1 (en) * 1999-01-08 2003-11-25 International Business Machines Corporation Outbound information analysis for generating user interest profiles and improving user productivity
KR100374040B1 (ko) * 2001-03-09 2003-03-03 엘지전자 주식회사 비디오 텍스트 합성 키 프레임 추출방법
US20030123841A1 (en) * 2001-12-27 2003-07-03 Sylvie Jeannin Commercial detection in audio-visual content based on scene change distances on separator boundaries
JP2004112379A (ja) * 2002-09-19 2004-04-08 Fuji Xerox Co Ltd 画像検索システム
US20040113933A1 (en) * 2002-10-08 2004-06-17 Northrop Grumman Corporation Split and merge behavior analysis and understanding using Hidden Markov Models
US7324736B2 (en) * 2002-10-09 2008-01-29 Lsi Logic Corporation Intelligent recording control system
JP2004185424A (ja) * 2002-12-04 2004-07-02 Fuji Xerox Co Ltd プレゼンテーション記録装置
JP4112968B2 (ja) * 2002-12-26 2008-07-02 富士通株式会社 ビデオテキスト処理装置
US7412453B2 (en) * 2002-12-30 2008-08-12 International Business Machines Corporation Document analysis and retrieval
US7904823B2 (en) * 2003-03-17 2011-03-08 Oracle International Corporation Transparent windows methods and apparatus therefor
US8904267B2 (en) * 2003-10-14 2014-12-02 International Business Machines Corporation Retrieving slide show content from presentation documents
WO2005043915A1 (ja) * 2003-10-31 2005-05-12 Kddi Media Will Corporation 映像解析装置及び映像障害検出装置
US20060047637A1 (en) * 2004-09-02 2006-03-02 Microsoft Corporation System and method for managing information by answering a predetermined number of predefined questions
US7554576B2 (en) * 2005-06-20 2009-06-30 Ricoh Company, Ltd. Information capture and recording system for controlling capture devices

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5848409A (en) * 1993-11-19 1998-12-08 Smartpatents, Inc. System, method and computer program product for maintaining group hits tables and document index tables for the purpose of searching through individual documents and groups of documents
US6332144B1 (en) * 1998-03-11 2001-12-18 Altavista Company Technique for annotating media
US6646655B1 (en) * 1999-03-09 2003-11-11 Webex Communications, Inc. Extracting a time-sequence of slides from video
US20010020954A1 (en) * 1999-11-17 2001-09-13 Ricoh Company, Ltd. Techniques for capturing information during multimedia presentations
US7167191B2 (en) * 1999-11-17 2007-01-23 Ricoh Company, Ltd. Techniques for capturing information during multimedia presentations
US7010751B2 (en) * 2000-02-18 2006-03-07 University Of Maryland, College Park Methods for the electronic annotation, retrieval, and use of electronic images
US7149755B2 (en) * 2002-07-29 2006-12-12 Hewlett-Packard Development Company, Lp. Presenting a collection of media objects
US20040247206A1 (en) * 2003-02-21 2004-12-09 Canon Kabushiki Kaisha Image processing method and image processing system
US20040202349A1 (en) * 2003-04-11 2004-10-14 Ricoh Company, Ltd. Automated techniques for comparing contents of images
US7392469B1 (en) * 2003-05-19 2008-06-24 Sidney Bailin Non-intrusive commentary capture for document authors
US20050078868A1 (en) * 2003-09-26 2005-04-14 William Chen Method and apparatus for summarizing and indexing the contents of an audio-visual presentation
US20060074895A1 (en) * 2004-09-29 2006-04-06 International Business Machines Corporation Method and system for extracting and utilizing metadata to improve accuracy in speech to text conversions

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060250508A1 (en) * 2005-05-09 2006-11-09 Chia-Kai Chang Method for inserting a picture into a video frame
US20080007567A1 (en) * 2005-12-18 2008-01-10 Paul Clatworthy System and Method for Generating Advertising in 2D or 3D Frames and Scenes
US20080042923A1 (en) * 2006-08-16 2008-02-21 Rick De Laet Systems, methods, and apparatus for recording of graphical display
US8878833B2 (en) 2006-08-16 2014-11-04 Barco, Inc. Systems, methods, and apparatus for recording of graphical display
US20080263010A1 (en) * 2006-12-12 2008-10-23 Microsoft Corporation Techniques to selectively access meeting content
US20080183820A1 (en) * 2007-01-29 2008-07-31 Fuji Xerox Co., Ltd. Device Orchestration
US20080276159A1 (en) * 2007-05-01 2008-11-06 International Business Machines Corporation Creating Annotated Recordings and Transcripts of Presentations Using a Mobile Device
US20130036235A1 (en) * 2010-04-16 2013-02-07 Pablo Lopez Garcia Method of transmission of visual content
US8626487B2 (en) 2010-09-08 2014-01-07 Sharp Kabushiki Kaisha Translation apparatus, translation method, computer program, and recording medium

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