Abstract: A system for extracting and monitoring media tags within video content includes at least one server in communication with a plurality of content sources, the server receiving video content from the content sources, a recorder saving the video content, a detector receiving at least one frame of the video content, the detector detecting one or more unknown text within the frame and creating one or more images, each image associated with one of the one or more unknown text, the detector generating metadata associated with the one or more unknown text appearing in the frame, and an optical character recognition engine scanning the one or more images and converting the one or more images into one or more known text. The server further determines that the one or more known text is a media tag.

Abstract: A system for extracting and monitoring media tags within video content includes at least one server in communication with a plurality of content sources, the server receiving video content from the content sources, a recorder saving the video content, a detector receiving at least one frame of the video content, the detector detecting one or more unknown text within the frame and creating one or more images, each image associated with one of the one or more unknown text, the detector generating metadata associated with the one or more unknown text appearing in the frame, and an optical character recognition engine scanning the one or more images and converting the one or more images into one or more known text. The server further determines that the one or more known text is a media tag.

Abstract: A system for extracting and monitoring media tags within video content includes at least one server in communication with a plurality of content sources, the server receiving video content from the content sources, a recorder saving the video content, a detector receiving at least one frame of the video content, the detector detecting one or more unknown text within the frame and creating one or more images, each image associated with one of the one or more unknown text, the detector generating metadata associated with the one or more unknown text appearing in the frame, and an optical character recognition engine scanning the one or more images and converting the one or more images into one or more known text. The server further determines that the one or more known text is a media tag.

Abstract: A system for extracting and monitoring media tags within video content includes at least one server in communication with a plurality of content sources, the server receiving video content from the content sources, a recorder saving the video content, a detector receiving at least one frame of the video content, the detector detecting one or more unknown text within the frame and creating one or more images, each image associated with one of the one or more unknown text, the detector generating metadata associated with the one or more unknown text appearing in the frame, and an optical character recognition engine scanning the one or more images and converting the one or more images into one or more known text. The server further determines that the one or more known text is a media tag.

Abstract: A system and method for serving contextually relevant advertisements is provided, including monitoring a media stream to indentify an audio or video asset, extracting and storing corresponding text from the asset, retrieving stored text when the asset is selected by a user, analyzing the text and identifying relevant advertisements that are then displayed to a user as a clickable text next to the playing video or audio asset. In further embodiments, the method may include the steps of retrieving a variable length portion of the text corresponding to the portion of the asset being played by the user, analyzing the portion of the text to identify advertisements relevant to the corresponding portion of the asset, displaying the advertisements during the playback of the portion of the asset, and then repeating the steps until the playback of the whole asset is completed.

Abstract: A method for the generation of an image on a selectable part of the retina of a viewer's eye, to form an ocular image on the retina. The method includes the step of receiving an image being composed of a number of image elements that correspond to the number of cone photoreceptors of a viewer's fovea, so as to constitute a received image. The method further includes the step of displaying the received image so as to constitute a displayed image. The method further includes the step of projecting the displayed image onto a viewer's fovea area, so as to constitute a foveal image, such that a number of image elements of the foveal image corresponds to the number of cone photoreceptors of the viewer's fovea. The method further includes the step of projecting said displayed image onto a viewer's retina so as to constitute a retinal image.