22. Visual search – Players in the mobile space An Overview: http://bit.ly/zolGg
23. Challenge – Sensory gap Limitation imposed by the sensor – not all information captured!
24. Challenge – Semantic Gap Difference between user-interpretation and machine-computed features
25. Visual search a.k.a. Content Based Image Retrieval (CBIR) Block-diagram of a typical content-based image retrieval system Comparison Query Index Index File Result Image database
Searching for the right image can be like searching for a needle in a haystack! Picture speaks better than thousand words, but how do you find the right pictures in the thousands (hundreds of thousands!) of pictures?!
Growth of digital content is exponential; we need a way to index and search this content.
Doing it well, and doing it fast is the challenge!
Where does the search query come from?
Mobile phone + internet access + search databases = Awesomeness!
Include something on mobile space, this is esp. relevant to Samsung
Mobile visual search: http://bit.ly/zolGg SnapTell: enhanced print-advertising; index covers books, CDs/DVDs, games Kooabs: Spin-off from ETH, Zurich (Luc Van Gool is one of the founders!) Idee: TinEye Mobile app for the iPhone Evolution robotics: primary licensee of D. Lowe’s SIFT patent