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OMNIMEDIA “Intelligent Rich Media  Search Platform”
Searchable Media for E-Learning ,[object Object]
Solution ,[object Object]
Technology ,[object Object]
OMNIMedia Innovation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why better? Accuracy Hand inserted metadata Cost effectiveness Machine learning / Computer Vision OMNIMedia  Platform
Features highlights ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: MLB.com
  Object detection Cardeal.com Bookmark the  Info without Leaving the  video
Youtube Video NYC  Tiffany Bookmark the  Info without Leaving the  video
Object detection Great Sushi from Porter Sq, Cambridge Bookmark the  Info without Leaving the  video
Technology & Product
Image Recognition Input image Texture Based Classification Tree / Not-Tree Classification Feature Vector Decision Input Image Shape Based Classification car car ped Biological Model  Feature Extraction Car /  Not-Car Classification Feature Vector Decision
Image Recognition Performance Biological Model
Auto-tagging for photographs ,[object Object],[object Object],[object Object],[object Object]
Tagging assist
Clustering – add contextual info http://eigencluster.csail.mit.edu/
Interdisciplinary framework  (hybrid solution) OMNIMedia Cluster Algorithm OMNIMedia platform Auto-generate Initial  Metadata Add contextual  Info to further enhance metadata User enriched Media content Metadata – fine Tune the image Recognition  engine Computer Vision  (Image recognition)
Online Content Delivery Stack MySpace Operating System Browser ??? MLB.com YouTube etc G o o g l e WWW Internet
Online Content Delivery Stack Semantic Web / Metadata layer Internet OS (Browser and OS converge) Search www Internet G o o g l e OMNIMedia MySpace MLB.com YouTube etc ?
Technology Diffusion Web 2.0 services -> applications on InternetOS Data-driven G o o g l e OMNIMedia
Value Chain

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Elearning - Rich Media Search

Notas do Editor

  1. Searchable video stream Non-linear video content access Crawlable - Video content -> text -> publish to web and crawled by search engine such as Google (and use Search Optimization technique) Dynamic - insert Ad (use image detection to detect sponsor images (e.g. ketchup) and dynamically insert link inside the video) Linkable - insert link (from one region of a frame in a clip to another frame in another clip – hypermedia) Unobtrusive - insert Text Ads to the clip on the side instead of a short clip at the opening