Abstract: Dynamic building spaces are a major business nowadays, due to the high rate of change in building utilization—but for building landlords the high pace of change of types of units and their requirements is a major problem as it requires high time and cost consuming efforts. The described inventions will provide per an existing building empty space multiple options which can be offered to a potential tenant and then adapted to his specific needs with a guidance for quick reassembly.

Abstract: The present invention discloses methods for detecting, indexing, and comparing video signals from a video display in a background scene using a camera-enabled device. Methods include the steps of: pointing a camera-enabled (CEN) device at a video-signal surface; detecting a location of the video-signal surface in the background scene on the CEN device; and extracting at least one frame from the detected video-signal surface. Preferably, the method further includes the steps of: obtaining at least one image from at least one extracted frame; computing at least one compact signature from at least one image; comparing at least one compact signature with at least one stored compact signature in a database; and determining whether at least one match was found between at least one compact signature and at least one stored compact signature.

Abstract: The present invention discloses methods for detecting, indexing, and comparing video signals from a video display in a background scene using a camera-enabled device. Methods include the steps of: pointing a camera-enabled (CEN) device at a video-signal surface; detecting a location of the video-signal surface in the background scene on the CEN device; and extracting at least one frame from the detected video-signal surface. Preferably, the method further includes the steps of: obtaining at least one image from at least one extracted frame; computing at least one compact signature from at least one image; comparing at least one compact signature with at least one stored compact signature in a database; and determining whether at least one match was found between at least one compact signature and at least one stored compact signature.

Abstract: A method, apparatus, system, and article of manufacture provide the ability to seamlessly transfer a texture. An image that has an object to be concealed is acquired. A conceal tool is activated. A source patch of a first collection of pixels within the image is defined. A target patch of a second collection of pixels within the image is defined and located over the object to be concealed. The source patch is mapped onto the target patch using a transformation (T). A contrast between the source patch and the target patch along a boundary of the source patch and the target patch is measured. A color one of the one or more pixels in the second collection is accepted/rejected based on the contrast.

Abstract: The present invention discloses methods for detecting, indexing, and comparing video signals from a video display in a background scene using a camera-enabled device. Methods include the steps of: pointing a camera-enabled (CEN) device at a video-signal surface; detecting a location of the video-signal surface in the background scene on the CEN device; and extracting at least one frame from the detected video-signal surface. Preferably, the method further includes the steps of: obtaining at least one image from at least one extracted frame; computing at least one compact signature from at least one image; comparing at least one compact signature with at least one stored compact signature in a database; and determining whether at least one match was found between at least one compact signature and at least one stored compact signature.

Abstract: The present invention discloses methods for detecting, indexing, and comparing video signals from a video display in a background scene using a camera-enabled device. Methods include the steps of: pointing a camera-enabled (CEN) device at a video-signal surface; detecting a location of the video-signal surface in the background scene on the CEN device; and extracting at least one frame from the detected video-signal surface. Preferably, the method further includes the steps of: obtaining at least one image from at least one extracted frame; computing at least one compact signature from at least one image; comparing at least one compact signature with at least one stored compact signature in a database; and determining whether at least one match was found between at least one compact signature and at least one stored compact signature.

Abstract: A method, apparatus, system, and article of manufacture provide the ability to seamlessly transfer a texture. An image that has an object to be concealed is acquired. A conceal tool is activated. A source patch of a first collection of pixels within the image is defined. A target patch of a second collection of pixels within the image is defined and located over the object to be concealed. The source patch is mapped onto the target patch using a transformation (T). A contrast between the source patch and the target patch along a boundary of the source patch and the target patch is measured. A color one of the one or more pixels in the second collection is accepted/rejected based on the contrast.

Abstract: The present invention discloses methods for detecting, indexing, and comparing video signals from a video display in a background scene using a camera-enabled device. Methods include the steps of: pointing a camera-enabled (CEN) device at a video-signal surface; detecting a location of the video-signal surface in the background scene on the CEN device; and extracting at least one frame from the detected video-signal surface. Preferably, the method further includes the steps of: obtaining at least one image from at least one extracted frame; computing at least one compact signature from at least one image; comparing at least one compact signature with at least one stored compact signature in a database; and determining whether at least one match was found between at least one compact signature and at least one stored compact signature.

Abstract: The present invention discloses methods and systems for providing broadcast ad identification. Methods include the steps of: providing fingerprint signatures of each frame in a broadcast video; and designating at least two repeat fingerprint signatures upon detecting at least one fingerprint-signature match from the signatures. Preferably, methods further include: prior to the designating, determining whether the fingerprint signatures correspond to a known ad based upon detecting at least one fingerprint-signature match of the fingerprint signatures with pre-indexed fingerprint signatures of pre-indexed ads. Preferably, method further include: creating segments of the fingerprint signatures, ordered according to a timeline temporal proximity of the fingerprint signatures, by grouping at least two fingerprint signatures based on a repeat temporal proximity of at least two repeat fingerprint signatures respective of at least two fingerprint signatures.

Abstract: A sight line vector detecting method includes: emitting LED light beams from LED light sources arranged on both sides of a camera to an eye; photographing the eye by the camera; acquiring a plane which includes one light source position of the LED light sources, a lens center position of the camera, and a spatial position on a photographed image as to one luminescent spot on a cornea spherical surface, and another plane which includes the other light source position, the lens center position of the camera, and a spatial position on the photographed image as to the other luminescent spot on the cornea spherical surface; acquiring a line of intersection between the two planes; acquiring a center of a cornea ball which is on the intersection line and satisfies a predetermined condition; and acquiring a center of a pupil.

Abstract: In a sight line vector detecting system comprising: an infrared light source for illuminating either an eye or a face; a camera for photographing either the eye or the face; and a computer for processing photographed image data of said camera so as to calculate a sight line vector, the computer includes an image processing unit for detecting the true luminance point and the center of the pupil from the photographed image data; and a calculating unit for calculating the sight line vector; and the image processing unit performs such a processing operation that the image processing unit determines a luminance point capable of satisfying a predetermined requirement as the true luminance point among luminance points having the pupils at near places, calculates a center of the pupils, and further, calculates a center of a cornea ball.

Abstract: In a sight line vector detecting system comprising: an infrared light source for illuminating either an eye or a face; a camera for photographing either the eye or the face; and a computer for processing photographed image data of said camera so as to calculate a sight line vector, the computer includes an image processing unit for detecting the true luminance point and the center of the pupil from the photographed image data; and a calculating unit for calculating the sight line vector; and the image processing unit performs such a processing operation that the image processing unit determines a luminance point capable of satisfying a predetermined requirement as the true luminance point among luminance points having the pupils at near places, calculates a center of the pupils, and further, calculates a center of a cornea ball.

Abstract: A sight line vector detecting method includes: emitting LED light beams from LED light sources arranged on both sides of a camera to an eye; photographing the eye by the camera; acquiring a plane which includes one light source position of the LED light sources, a lens center position of the camera, and a spatial position on a photographed image as to one luminescent spot on a cornea spherical surface, and another plane which includes the other light source position, the lens center position of the camera, and a spatial position on the photographed image as to the other luminescent spot on the cornea spherical surface; acquiring a line of intersection between the two planes; acquiring a center of a cornea ball which is on the intersection line and satisfies a predetermined condition; and acquiring a center of a pupil.

Abstract: A line-of-sight detection method in an imaging system which includes a camera for photographing a face and right and left eyes and a light source for irradiating the right and left eyes with infrared rays, said line-of-sight detection method comprising: obtaining a center point of a pupil of at least one of the right and left eyes; obtaining a center point of a cornea spherical surface of said at least one of the right and left eyes; and obtaining a direction of a vector headed from said center point of said cornea spherical surface to said center point of said pupil, wherein a data based on a morphological information is used in obtaining said center point of said pupil.

Abstract: A line-of-sight detection method in an imaging system which includes a camera for photographing a face and right and left eyes and a light source for irradiating the right and left eyes with infrared rays, said line-of-sight detection method comprising: obtaining a center point of a pupil of at least one of the right and left eyes; obtaining a center point of a cornea spherical surface of said at least one of the right and left eyes; and obtaining a direction of a vector headed from said center point of said cornea spherical surface to said center point of said pupil, wherein a data based on a morphological information is used in obtaining said center point of said pupil.