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Public release date: 16-Jan-2012[ | E-mail |
Share ] Contact: Yivsam Azgad
news@weizmann.ac.il
972-893-43856
Weizmann Institute of Science
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. The bi-directionality of the method ensures that the resulting image is visually coherent: In addition to telling the same 'story,' it is as visually pleasing as the original. As opposed to cropping or clipping, in which important information can be lost; or scaling down, in which resolution is lost, summarizing manages to maintain both relevant information and resolution details, despite the decrease in size.
The method is based on eliminating redundant information from the image/video. Video summarization works in a similar way, only the program exploits redundancy in space-time. Gradual resizing and rechecking ensures that the final result is seamless and coherent.
In addition to summarizing images and videos, the method may have a number of other applications, including completing missing parts in images/videos; creating montages out of separate images; photo reshuffling (in which elements may be moved around the image/video); automatic cropping; image synthesis (in which an image might be expanded, rather than summarized); and image morphing (generating a video sequence displaying a smooth transition from one image to another, possibly unrelated, image).
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Prof. Michal Irani's research is supported by the Citi Foundation.
Yeda Research and Development Company Ltd. is the Technology Transfer Company of the Weizmann Institute of Science. Yeda markets and commercializes intellectual property created in the Weizmann Institute laboratories.
The Weizmann Institute of Science in Rehovot, Israel, is one of the world's top-ranking multidisciplinary research institutions. Noted for its wide-ranging exploration of the natural and exact sciences, the Institute is home to 2,700 scientists, students, technicians and supporting staff. Institute research efforts include the search for new ways of fighting disease and hunger, examining leading questions in mathematics and computer science, probing the physics of matter and the universe, creating novel materials and developing new strategies for protecting the environment.
Weizmann Institute news releases are posted on the World Wide Web at http://wis-wander.weizmann.ac.il/, and are also available at http://www.eurekalert.org/
[ | E-mail | Share ] ?
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.
Public release date: 16-Jan-2012[ | E-mail |
Share ] Contact: Yivsam Azgad
news@weizmann.ac.il
972-893-43856
Weizmann Institute of Science
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. The bi-directionality of the method ensures that the resulting image is visually coherent: In addition to telling the same 'story,' it is as visually pleasing as the original. As opposed to cropping or clipping, in which important information can be lost; or scaling down, in which resolution is lost, summarizing manages to maintain both relevant information and resolution details, despite the decrease in size.
The method is based on eliminating redundant information from the image/video. Video summarization works in a similar way, only the program exploits redundancy in space-time. Gradual resizing and rechecking ensures that the final result is seamless and coherent.
In addition to summarizing images and videos, the method may have a number of other applications, including completing missing parts in images/videos; creating montages out of separate images; photo reshuffling (in which elements may be moved around the image/video); automatic cropping; image synthesis (in which an image might be expanded, rather than summarized); and image morphing (generating a video sequence displaying a smooth transition from one image to another, possibly unrelated, image).
###
Prof. Michal Irani's research is supported by the Citi Foundation.
Yeda Research and Development Company Ltd. is the Technology Transfer Company of the Weizmann Institute of Science. Yeda markets and commercializes intellectual property created in the Weizmann Institute laboratories.
The Weizmann Institute of Science in Rehovot, Israel, is one of the world's top-ranking multidisciplinary research institutions. Noted for its wide-ranging exploration of the natural and exact sciences, the Institute is home to 2,700 scientists, students, technicians and supporting staff. Institute research efforts include the search for new ways of fighting disease and hunger, examining leading questions in mathematics and computer science, probing the physics of matter and the universe, creating novel materials and developing new strategies for protecting the environment.
Weizmann Institute news releases are posted on the World Wide Web at http://wis-wander.weizmann.ac.il/, and are also available at http://www.eurekalert.org/
[ | E-mail | Share ] ?
AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert! system.
Source: http://www.eurekalert.org/pub_releases/2012-01/wios-ycw011512.php
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