The document discusses OmniMedia's intelligent rich media search platform. It aims to make multimedia like images and videos searchable for e-learning applications. The solution involves a community-based video editing platform that exposes descriptive text searchable metadata to any digital video. It takes an automated but collaborative approach to metadata generation between artificial and human intelligence. The technology reduces costs by facilitating incremental, collaborative learning and knowledge sharing through open communities.

1. OMNIMEDIA “Intelligent Rich Media Search Platform”

2. Searchable Media for E-Learning As multimedia are being used to facilitate and enhance teaching and creative learning, making rich media including images and videos searchable are critical in today and future e-learning platform and management system. Traditionally, it's a difficult challenge. Some of the team members have invented an interdisciplinary framework which integrates the state-of-the-art image recognition technology and brain science research from MIT, intelligent cluster algorithm and patentable digital “tagging” technology.

3. Solution The solution is a community-based, video information-editing web platform, exposes and associates descriptive and searchable text with any digital video file. It is diverging from the traditional closed-environment manual-labor model and the fully artificial intelligent approach to metadata content generation. Instead, our solution is focusing on an automated solution to metadata generation through open, collaborative solutions.

4. Technology The technology is disruptive because a knowledge-sharing model for rich-media content management reduces maintenance costs and achieves higher production efficiency for metadata generation. The platform simultaneously captures users and learners activities and preferences on the content provider’s own website. It also facilitates incremental and collaborative learning through a open community.

5. OMNIMedia Innovation Artificial (Machine + Human) Collective Intelligence Media search Why? Search strategy: User-centered approach, High accuracy More relevance (to user) User added business value Google gets it! (PageRank algorithm leverages user contribution) Web Strategy: Ubiquitous

6. Why better? Accuracy Hand inserted metadata Cost effectiveness Machine learning / Computer Vision OMNIMedia Platform

7. Features highlights Searchable video stream Non-linear video content access Crawlable by Search engine e.g. Google Dynamic in video advertisement (use image detection to detect sponsor images) Linkable - insert link (from one region of a frame in a clip to another frame in another clip) Unobtrusive - Text or bubble Ads to the clip

8. Example: MLB.com

9. Object detection Cardeal.com Bookmark the Info without Leaving the video

10. Youtube Video NYC Tiffany Bookmark the Info without Leaving the video

11. Object detection Great Sushi from Porter Sq, Cambridge Bookmark the Info without Leaving the video

12. Technology & Product

13. 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

14. Image Recognition Performance Biological Model

15. Auto-tagging for photographs Landscape Group Shot Couple Portrait

16. Tagging assist

17. Clustering – add contextual info http://eigencluster.csail.mit.edu/

18. 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)

19. Online Content Delivery Stack MySpace Operating System Browser ??? MLB.com YouTube etc G o o g l e WWW Internet

20. 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 ?

21. Technology Diffusion Web 2.0 services -> applications on InternetOS Data-driven G o o g l e OMNIMedia

22. Value Chain