Abstract: A method and apparatus for obtaining partial content of a webpage and a method and apparatus for sharing partial content of a webpage. An image of an area on the webpage selected by a user is captured. Linkable elements existing in the area and positions of respective linkable elements in the area are acquired. A HTML fragment is generated based on the image, the linkable elements and their positions in the area as the obtained partial content of the webpage. By virtue of the method and apparatus, Only interested partial content of the webpage can be shared by sharers, and receivers can not only view the partial content of the webpage exactly same with what the sharers view, but also access hyperlinks on this partial content of the webpage directly in a web browser.

Abstract: The invention relates to a human eye detection method, apparatus, system and storage medium.

Abstract: A method of processing an image includes steps of identifying one candidate for a human face region within an image; calculating a probability that the candidate for human face region represents a human face; and saving the probability as attached information to the image. The method of processing an image can also include steps of identifying one candidate for human face region within an image; calculating a probability that the candidate for human face region represents a human face; judging whether or not the candidate for human face region represents a human face by comparing the probability with a threshold; and saving a result of the step of judging as attached information to the image. According to these methods, results of identifying candidates for human face regions will be saved to the image, and further processes to be conducted on the image can be facilitated.

Abstract: The present invention provides a method of processing an image, which includes the steps of identifying one candidate for human face region within the image, selecting a mouth neighborhood within the candidate for human face region, processing the mouth neighborhood, and classifying the candidate for human face region based on results of the processing step. According to the method of the present invention, human faces are detected just based on pixels included in the mouth neighborhood, but not all the pixels of the entire face.

Abstract: The present invention provides a method and apparatus for detecting a red eye in an image. The method comprises steps of: calculating a skin color reference vector for said image; identifying a candidate for red eye region in said image; identifying skin color pixels in said candidate for red eye region; removing skin color pixels from said candidate for red eye region; deciding whether said candidate for red eye region is a red eye or not. The present invention also provides a method and apparatus for detecting a human face in an image. Moreover, the present invention provides corresponding storage medium including instructions for causing a processor to implement the methods. According to the present invention, red eyes and/or human faces can be detected with consideration of skin color pixels. The speed and accuracy of detecting red eyes and human faces are greatly increased.

Abstract: For a subset of pixels in an image in which it is desired to detect a human face if one is present, a first variable is derived from the gray-level distribution of the image, and a second variable is derived from a preset reference distribution that is characteristic of the object. The correspondence between the first variable and the second variable is then evaluated over the subset of pixels, and a determination is made as to whether the image contains the object, based on the result of this evaluation.

Abstract: For a subset of pixels in an image in which it is desired to detect a human face if one is present, a first variable is derived from the gray-level distribution of the image, and a second variable is derived from a preset reference distribution that is characteristic of the object. The correspondence between the first variable and the second variable is then evaluated over the subset of pixels, and a determination is made as to whether the image contains the object, based on the result of this evaluation.

Abstract: Disclosed is a method, apparatus, and system for detecting a human face in an image. The method includes, for a subset of pixels in the image, deriving a first variable from the gray-level distribution of the image and deriving a second variable from a preset reference distribution that is characteristic of the object. The method further includes evaluating the correspondence between the first variable and the second variable over the subset of pixels and determining if the image contains the object based on the result of this evaluation.

Abstract: The present invention provides a method and apparatus for detecting a red eye in an image. The method comprises steps of: calculating a skin color reference vector for said image; identifying a candidate for red eye region in said image; identifying skin color pixels in said candidate for red eye region; removing skin color pixels from said candidate for red eye region; deciding whether said candidate for red eye region is a red eye or not. The present invention also provides a method and apparatus for detecting a human face in an image. Moreover, the present invention provides corresponding storage medium including instructions for causing a processor to implement the methods. According to the present invention, red eyes and/or human faces can be detected with consideration of skin color pixels. The speed and accuracy of detecting red eyes and human faces are greatly increased.

Abstract: The invention relates to a human eye detection method, apparatus, system and storage medium.

Abstract: The present invention provides a method of processing an image, characterized by comprising steps of: identifying one candidate for human face region within said image; calculating a probability that said candidate for human face region represents a human face; and saving said probability as attached information to said image. The present invention also provides a method of processing an image, characterized by comprising steps of: identifying one candidate for human face region within said image; calculating a probability that said candidate for human face region represents a human face; judging whether or not said candidate for human face region represents a human face by comparing said probability with a threshold; and saving a result of said step of judging as attached information to said image. According to these methods, results of identifying candidates for human face regions will be saved to the image, and further processes to be conducted on the image will be facilitated.

Abstract: The present invention provides a method of processing an image, characterized by comprising steps of: identifying one candidate for human face region within said image; selecting a mouth neighborhood within said candidate for human face region; processing said mouth neighborhood; and classifying said candidate for human face region based on results of said processing step. According to the method of the present invention, human faces are detected just based on pixels included in the mouth neighborhood, but not all the pixels of the entire face.

Abstract: Disclosed is a method, apparatus, and system for detecting a human face in an image. The method includes, for a subset of pixels in the image, deriving a first variable from the gray-level distribution of the image and deriving a second variable from a preset reference distribution that is characteristic of the object. The method further includes evaluating the correspondence between the first variable and the second variable over the subset of pixels and determining if the image contains the object based on the result of this evaluation.