Event Web

Loading...

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

0 comments

Post a comment

    Post a comment
    Embed Video
    Edit your comment Cancel

    Notes on slide 1

    Favorites, Groups & Events

    Event Web - Presentation Transcript

    1. EventWeb Ramesh Jain and Several Collaborators Contact: jain@ics.uci.edu ICIG Xian Sept 21, 2009 © Ramesh Jain 1
    2. Today • Data, Experience, and Knowledge • Semantic Gap • Bridging the Semantic Gap • EventWeb • Applications: – EMME: Experiential Media Management Environment – E2E: Environment to Environment Connection ICIG Xian Sept 21, 2009 © Ramesh Jain 2
    3. Name 3 most popular companies that emerged in the last 3 years. • YouTube • Facebook • Twitter ICIG Xian Sept 21, 2009 © Ramesh Jain 3
    4. Twitter’s Growth This is a growth pattern I have never seen in terms of speed - not in the nearly 25 years I've been watching this industry. --- John Battelle ICIG Xian Sept 21, 2009 © Ramesh Jain 4
    5. Name 3 most popular Internet concepts in the last 3 years. • Social Networks • Micro-blogging (Ambient Awareness) • Tags News: None of these come from GYM or Academia. ICIG Xian Sept 21, 2009 © Ramesh Jain 5
    6. Interesting!!! • YouTube • Social Networks • Facebook • Microblogging • Twitter • Tags What does this tell us? ICIG Xian Sept 21, 2009 © Ramesh Jain 6
    7. Messages for Research Community People want: • New media: Text based media is not enough. • Experiences: People want to experience and share experiences – with minimal latency. • Socialize: Family and friends remain a strong influence in all facets of life. – Family and friends are closer to each other today than ever!!! ICIG Xian Sept 21, 2009 © Ramesh Jain 7
    8. Events Life = + Experiences ICIG Xian Sept 21, 2009 © Ramesh Jain 8
    9. Recording experiences • Visual • Aural • Tactile • (not worry about smell and taste for the next few years) • Text • Log of activities ICIG Xian Sept 21, 2009 © Ramesh Jain 9
    10. ICIG Xian Sept 21, 2009 © Ramesh Jain 10
    11. ICIG Xian Sept 21, 2009 © Ramesh Jain 11
    12. The Challenge Connecting ICIG Xian Sept 21, 2009 © Ramesh Jain 12
    13. Transformations Lists, Arrays, Documents, Images … Alphanumeric Characters Bits and Bytes ICIG Xian Sept 21, 2009 © Ramesh Jain 13
    14. Semantic Gap The semantic gap is the lack of coincidence between the information that one can extract from the visual data and the interpretation that the same data have for a user in a given situation. A linguistic description is almost always contextual, whereas an image may live by itself. Content-Based Image Retrieval at the End of the Early Years Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence Arnold Smeulders , et. al., December 2000 ICIG Xian Sept 21, 2009 © Ramesh Jain 14
    15. Semantic Gap ICIG Xian Sept 21, 2009 © Ramesh Jain 15
    16. History: Year 1991 – We had Internet. – Lots of computers were connected to each other. – Computers had files on them. – We had GOPHER and other FTP mechanisms. ICIG Xian Sept 21, 2009 © Ramesh Jain 16
    17. Tim Berners-Lee thought: • Suppose all the information stored on computers everywhere were linked. • Suppose I could program my computer to create a space in which anything could be linked to anything. Others – including Bush -- had that idea earlier but the technology was not ready. ICIG Xian Sept 21, 2009 © Ramesh Jain 17
    18. That resulted in the Web • DocumentWeb – Each node is a ‘Page’ or a document. – Pages are linked through explicit referential links ICIG Xian Sept 21, 2009 © Ramesh Jain 18
    19. Today we have • WWW that has revolutionized our life in many ways. • Sensor networks – Billions of sensor getting connected • Ambitious projects – Planetary Skin by Cisco and NASA – Smart Planet by IBM ICIG Xian Sept 21, 2009 © Ramesh Jain 19
    20. Can we take the Web beyond the Cyberspace? • Can things in real world be connected to other things? • Does this even make sense? ICIG Xian Sept 21, 2009 © Ramesh Jain 20
    21. Connectors • My 5 Senses are connectors between ‘me’ and the world. • We use our sensors (vision, audio, …) to experience the world. • Sensors could be the interface between the Cyberspace and the Real World. • Sensors are placed for ‘detecting events’. – How do you decide what sensors to put at any place? – Would you put a sensor if nothing interesting ever happens at a place? ICIG Xian Sept 21, 2009 © Ramesh Jain 21
    22. Modeling the World • Data (Semantic Web) • Objects (Search Companies, …) • Relationships and Events ICIG Xian Sept 21, 2009 © Ramesh Jain 22
    23. Evolution of ‘Thought’ • Objects -- popular in the West. • Relationships and Events – popular in the East. • Objects and Events – seems to be the new trend. • The Web has reemphasized the importance of every object and event being connected to others -- East Meets West. ICIG Xian Sept 21, 2009 © Ramesh Jain 23
    24. Continuing the Evolution of the Web • Consider a Web in which each node – Is an event – Has informational as well as experiential data – Is connected to other nodes using • Referential links • Structural links • Relational links • Causal links – Explicit links can be created by anybody • This EventWeb is connected to other Webs. ICIG Xian Sept 21, 2009 © Ramesh Jain 24
    25. Different types and Granularities • Conferences – Days • Sessions – Talks » Purpose of the talk • Wedding • An Earthquake • The Big Bang • 9/11 • 26/11 • Formation of Google • Attending WWW • Me – My Birth, – Being here, and – Dying in 100 years. ICIG Xian Sept 21, 2009 © Ramesh Jain 25
    26. Event Representation ICIG Xian Sept 21, 2009 © Ramesh Jain 26
    27. Transformations Text, Images, Audio, Video, Tactile… Alphanumeric, Pixel, Characters Bits and Bytes ICIG Xian Sept 21, 2009 © Ramesh Jain 27
    28. Events 1- dimensional Space Time ICIG Xian Sept 21, 2009 © Ramesh Jain 28
    29. EventWeb 1- dimensional Space Time ICIG Xian Sept 21, 2009 © Ramesh Jain 29
    30. Multimedia Storytelling • Collect information about events – Select relevant events – For each event, select appropriate information – In right media • Stories are sequence of coherent events. – Stories/Novels – Drama – Movies Present right event information using right media in right order. ICIG Xian Sept 21, 2009 © Ramesh Jain 30
    31. Multimedia Storytelling 1- dimensional Space Text Photo Video Time ICIG Xian Sept 21, 2009 © Ramesh Jain 31
    32. Stages in EventWeb • Cyberspace: Every event is ‘created’ in cyberspace and exists there. • Physical and Cyberspace: Events in real space are also linked. We have Sentient EventWeb linked with the Cyber Web. ICIG Xian Sept 21, 2009 © Ramesh Jain 32
    33. Experiential Media Management Environment • Event-based • Should be able to deal with ‘multimedia’ – Photos – Audio – Video – Text – Information and data – … • Searching based on events and media. • Storytelling First Photos then other media. ICIG Xian Sept 21, 2009 © Ramesh Jain 33
    34. Content Contenxt Context • Contenxt = Content + Context • Context is as powerful, possibly more, as content in understanding audio-visual information ICIG Xian Sept 21, 2009 © Ramesh Jain 34
    35. Modern Cameras • Are more than ‘Camera Obscura’: They capture an event. • Many sensors capture scene context and store it along with intensity values. • EXIF data is all metadata related to the Event. Exposure Time Aperture Diameter Flash Metering Mode ISO Ratings Focal Length Time Location (soon) Face ICIG Xian Sept 21, 2009 © Ramesh Jain 35
    36. Photos can be tagged using only EXIF We will also use content features and LSCOM Concepts – will soon start using them. Information from calendars and other sources will be introduced soon. ICIG Xian Sept 21, 2009 © Ramesh Jain 36
    37. EMME Event Cycle Event Atomic Presentation/ Event Entry Navigation EXIF Features Event Base Tags/ Context Event Grouping, Linking, 2009 ICIG Xian Sept 21, Assimilation © Ramesh Jain 37
    38. Using Context/Models to Build the EventWeb • Folder structure • Calendar • Social Network • EXIF Data • Event Ontology • Personal annotations • Photostream Segmentation • Event Detection from photos ICIG Xian Sept 21, 2009 © Ramesh Jain 38
    39. Photo Stream Segmentation Definition: given a photo stream P = { pi } Segment Event 1 Event 2 Event 3 ICIG Xian Sept 21, 2009 © Ramesh Jain 39
    40. EMME Event Cycle Event Atomic Presentation/ Event Entry Navigation EXIF Features Tags/ Event Base Context User Photo Annot- Event stream ations Ontology Segment. Minimize Manual Work Event Grouping, Linking, 2009 ICIG Xian Sept 21, Assimilation © Ramesh Jain 40
    41. EMME Event Cycle Event Atomic Presentation/ Event Entry Navigation Story Telling EXIF Explore Features Search Tags/ Event Base Context User Photo Annot- stream ations Event Segment. Ontology Event Grouping, Linking, 2009 ICIG Xian Sept 21, Assimilation © Ramesh Jain 41
    42. Using EMME • Searching for photo – ISWC2008 • Creating Albums: – Professional – Family – Tourism • Telling stories – What did I do in Karlsruhe • Scenario: In December 2008, I have 20,000 pictures taken in 2008. How do I (semi-automatically) select 25 to send to – My mother – The uncle that I hate Version 0.1 – My personal friend is ready – My professional friend – … ICIG Xian Sept 21, 2009 © Ramesh Jain 42
    43. Personal-Photo-EventWeb ICIG Xian Sept 21, 2009 © Ramesh Jain 43
    44. Singapore – Outdoor -- People ICIG Xian Sept 21, 2009 © Ramesh Jain 44
    45. People-No Face - Outdoor ICIG Xian Sept 21, 2009 © Ramesh Jain 45
    46. Singapore-Outdoor-Night ICIG Xian Sept 21, 2009 © Ramesh Jain 46
    47. Indoor no faces ICIG Xian Sept 21, 2009 © Ramesh Jain 47
    48. Indoor People ICIG Xian Sept 21, 2009 © Ramesh Jain 48
    49. Indoor Portraits ICIG Xian Sept 21, 2009 © Ramesh Jain 49
    50. E-mail can also be parsed. ICIG Xian Sept 21, 2009 © Ramesh Jain 50
    51. Photos Summarization ICIG Xian Sept 21, 2009 © Ramesh Jain 51
    52. Original Data Set ICIG Xian Sept 21, 2009 © Ramesh Jain 52
    53. Photo-Summarization using content ICIG Xian Sept 21, 2009 © Ramesh Jain 53
    54. Photo-Summarization using Faces ICIG Xian Sept 21, 2009 © Ramesh Jain 54
    55. Event Mash-up Interface Event Mash-up Interface Composite Events Event Digestor Event Digestor Clustering Annotation Event Ontology Atomic Events Event Ingestor Event Ingestor EXIF Extractor Text Parser Calendar Parser ICIG Xian Sept 21, 2009 © Ramesh Jain 55
    56. ICIG Xian Sept 21, 2009 © Ramesh Jain 56
    57. ICIG Xian Sept 21, 2009 © Ramesh Jain 57
    58. Sentient EventWeb • Use sensors to create events. – This conference • Infrastructure to create and link all such events. – Index – Search – Present • Capture events and put them on the Web. Imagine each sensor tweeting. ICIG Xian Sept 21, 2009 © Ramesh Jain 58
    59. Sentient EventWeb • Use sensors to create events. – This Seminar • Infrastructure to create and link all such events. – Index – Search – Present • Archive events and put them on the Web. ICIG Xian Sept 21, 2009 © Ramesh Jain 59
    60. First Version: E2E Communication Modes: • Person to Person • Device to Device – Telephone – Video Conferencing • Environment to Environment (E2E) ICIG Xian Sept 21, 2009 © Ramesh Jain 60
    61. Environment • Fixed objects • Active Objects • Events and Activities • Sensor to capture Objects and Events – Cameras, microphones, pressure, RFID, … • Displays and Actuators – Projectors, Displays, Speakers, … ICIG Xian Sept 21, 2009 © Ramesh Jain 61
    62. Key Idea • Put enough sensors and devices to make mediation disappear. • System detects events and objects and sends appropriate data streams and displays/renders incoming streams on appropriate devices • Bring back Person to Person communication ICIG Xian Sept 21, 2009 © Ramesh Jain 62
    63. Vision • First build Communication Nodes • Next build Web Nodes • Build Sentient EventWeb ICIG Xian Sept 21, 2009 © Ramesh Jain 63
    64. E2E communication: Vision Environment 1 Environment 2 Device to Device Sentient Sentient Information communication Information System Web System ICIG Xian Sept 21, 2009 © Ramesh Jain 64
    65. Environment: Node Architecture EventBas Sensors e Situation Physical Environment Environment Network/ MMDB based Environment Model Server Transmiss controller ion Actuators / Presentation Actuator / Devices Presentation Model ICIG Xian Sept 21, 2009 © Ramesh Jain 65
    66. Event detection and organization ICIG Xian Sept 21, 2009 © Ramesh Jain 66
    67. Joint Env. 2 Env. 1 SM JSM JSM 1 1 JSM 2 Env. 3 Env. 5 Env. 4 Shared Visualization Spaces for Environment to Environment Communication , in Workshop on Media, Arts, Science Xian Sept 21, 2009 (MAST 09), 2009. ICIG and Technology © Ramesh Jain 67
    68. Telemedicine Application ICIG Xian Sept 21, 2009 © Ramesh Jain 68
    69. Conclusion • New models for Events and Objects are required for bridging the semantic gap. • Semantics emerges due to relationships captured in Web. • EventWeb facilitates emerging applications dealing with multimedia data. ICIG Xian Sept 21, 2009 © Ramesh Jain 69
    70. Thanks for your time and attention. For questions: jain@ics.uci.edu ICIG Xian Sept 21, 2009 © Ramesh Jain 70
    SlideShare Zeitgeist 2009

    + jain49jain49 Nominate

    custom

    107 views, 0 favs, 0 embeds more stats

    Representing and creating events and lining them in more

    More info about this document

    © All Rights Reserved

    Go to text version

    • Total Views 107
      • 107 on SlideShare
      • 0 from embeds
    • Comments 0
    • Favorites 0
    • Downloads 10
    Most viewed embeds

    more

    All embeds

    less

    Flagged as inappropriate Flag as inappropriate
    Flag as inappropriate

    Select your reason for flagging this presentation as inappropriate. If needed, use the feedback form to let us know more details.

    Cancel
    File a copyright complaint
    Having problems? Go to our helpdesk?

    Categories

    Tags

    -->
    What's New

    © 2009 SlideShare Inc. All rights reserved.