New Data Visualization Technique: Summarized Video

YEDA Research and Development Company LTD., the commercial arm of the Weizmann Institute of Science, today announced it has entered into a license agreement with Adobe Systems Incorporated related to a bidirectional similarity measure to summarize visual data.

The bidirectional similarity method developed by Prof. Michal Irani and Drs. Denis Simakov, Yaron Caspi and Eli Shechtman of the Institute's Computer Science and Applied Mathematics Department is a technique for summarizing visual data -- both still images and video. Rather than cropping or scaling down an image to obtain a smaller thumbnail, or clipping a video segment, the method produces a complete and coherent visual summary: a smaller or shorter version of the original that retains the most relevant information

More details: http://wis-wander.weizmann.ac.il/yeda-collaborates-with-adobe-for-new-data-vi...

Category:

Science & Technology

Tags:

• weizmann institute
• yeda
• Adobe
• data visualization
• michal irani