There are over 200 billion images on the internet today and this collection continues to grow by leaps and bounds. Image search engines often only surface a portion of those images and often rely on the text surrounding an image on a webpage, or the image file’s name. With the growing number of images on [...]
Posts under ‘Yahoo!’
Yahoo! Challenge 2010: Robust Automatic Segmentation of Video According to Narrative Themes
Video search today relies mostly on textual metadata that is associated with the video in terms of title, tags or surrounding page-text. This approach falls severely short by ignoring the richness of information within the video medium; an engine should ideally use this information to help a user search and navigate content. As video content [...]
Winners of the Multimedia Grand Challenge 2009
We are very happy to announce the winners of the Multimedia Grand Challenge 2009.
The challenge presentation took place last week in Beijing, during ACM Multimedia 2009. The session was a plenary session (read: no other presentations were going on at the same time), which meant a large crowd that, as far as I can tell, [...]
