Slashdot Mirror
Domain: alipr.com
Stories and comments across the archive that link to alipr.com.
Stories · 5
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Computers With Opinions On Visual Aesthetics
photoenthusiast writes "Penn State researchers launched a new online photo-rating system, code named Acquine (Aesthetic Quality Inference Engine), for automatically determining the aesthetic value of a photo. Users can upload their own photographs for an instant Acquine rating, a score from zero to 100. The system learns to associate extracted visual characteristics with the way humans rate photos based on a lot of previously-rated photographs. It is designed for color natural photographic pictures. Technical publications reveal how Acquine works." -
Computers With Opinions On Visual Aesthetics
photoenthusiast writes "Penn State researchers launched a new online photo-rating system, code named Acquine (Aesthetic Quality Inference Engine), for automatically determining the aesthetic value of a photo. Users can upload their own photographs for an instant Acquine rating, a score from zero to 100. The system learns to associate extracted visual characteristics with the way humans rate photos based on a lot of previously-rated photographs. It is designed for color natural photographic pictures. Technical publications reveal how Acquine works." -
Next-Generation CAPTCHA Exploits the Semantic Gap
captcha_fun writes "Researchers at Penn State have developed a patent-pending image-based CAPTCHA technology for next-generation computer authentication. A user is asked to pass two tests: (1) click the geometric center of an image within a composite image, and (2) annotate an image using a word selected from a list. These images shown to the users have fake colors, textures, and edges, based on a sequence of randomly-generated parameters. Computer vision and recognition algorithms, such as alipr, rely on original colors, textures, and shapes in order to interpret the semantic content of an image. Because of the endowed power of imagination, even without the correct color, texture, and shape information, humans can still pass the tests with ease. Until computers can 'imagine' what is missing from an image, robotic programs will be unable to pass these tests. The system is called IMAGINATION and you can try it out." This sounds promising given how broken current CAPTCHA technology is. -
Next-Generation CAPTCHA Exploits the Semantic Gap
captcha_fun writes "Researchers at Penn State have developed a patent-pending image-based CAPTCHA technology for next-generation computer authentication. A user is asked to pass two tests: (1) click the geometric center of an image within a composite image, and (2) annotate an image using a word selected from a list. These images shown to the users have fake colors, textures, and edges, based on a sequence of randomly-generated parameters. Computer vision and recognition algorithms, such as alipr, rely on original colors, textures, and shapes in order to interpret the semantic content of an image. Because of the endowed power of imagination, even without the correct color, texture, and shape information, humans can still pass the tests with ease. Until computers can 'imagine' what is missing from an image, robotic programs will be unable to pass these tests. The system is called IMAGINATION and you can try it out." This sounds promising given how broken current CAPTCHA technology is. -
Next-Generation CAPTCHA Exploits the Semantic Gap
captcha_fun writes "Researchers at Penn State have developed a patent-pending image-based CAPTCHA technology for next-generation computer authentication. A user is asked to pass two tests: (1) click the geometric center of an image within a composite image, and (2) annotate an image using a word selected from a list. These images shown to the users have fake colors, textures, and edges, based on a sequence of randomly-generated parameters. Computer vision and recognition algorithms, such as alipr, rely on original colors, textures, and shapes in order to interpret the semantic content of an image. Because of the endowed power of imagination, even without the correct color, texture, and shape information, humans can still pass the tests with ease. Until computers can 'imagine' what is missing from an image, robotic programs will be unable to pass these tests. The system is called IMAGINATION and you can try it out." This sounds promising given how broken current CAPTCHA technology is.