Abstract: Systems and methods for streaming video, interacting with video content, and sharing video content are disclosed herein. Other embodiments are also disclosed herein.

Abstract: A system for program information discovery is described. A method and a device for generating and inserting a watermark for such program information discovery into a program signal to be rendered are disclosed, along with the corresponding method and device for watermark detection and decoding from the rendered program signals. Watermark, which carries channel/program information, is encoded and embedded at the set top box where the program streams are received and decoded for rendering. Second screen devices are employed for watermark detection and decoding by capturing the render program signals which has the watermark embedded. The extracted watermark information may be sent to information servers for more detailed channel/program information.

Abstract: Creating a listing of suggested content and programming for a virtual channel is performed by generating rankings of previously viewed or accessed content. The method determines whether such content is either cyclical in nature as being related to a series or if such content is broadcasted less frequently.

Abstract: A system for program information discovery is described. A method and a device for generating and inserting a watermark for such program information discovery into a program signal to be rendered are disclosed, along with the corresponding method and device for watermark detection and decoding from the rendered program signals. Watermark, which carries channel/program information, is encoded and embedded at the set top box where the program streams are received and decoded for rendering. Second screen devices are employed for watermark detection and decoding by capturing the render program signals which has the watermark embedded. The extracted watermark information may be sent to information servers for more detailed channel/program information.

Abstract: Proper representation of the meaning of texts is crucial to enhancing many data mining and information retrieval tasks, including clustering, computing semantic relatedness between texts, and searching. Representing of texts in the concept-space derived from Wikipedia has received growing attention recently, due to its comprehensiveness and expertise. This concept-based representation is capable of extracting semantic relatedness between texts that cannot be deduced with the bag of words model. A key obstacle, however, for using Wikipedia as a semantic interpreter is that the sheer size of the concepts derived from Wikipedia makes it hard to efficiently map texts into concept-space. An efficient algorithm is proved which is able to represent the meaning of a text by using the concepts that best match it. In particular, this approach first computes the approximate top- concepts that are most relevant to the given text. These concepts are then leverage to represent the meaning of the given text.

Abstract: Creating a listing of suggested content and programming for a virtual channel is performed by generating rankings of previously viewed or accessed content. The method determines whether such content is either cyclical in nature as being related to a series or if such content is broadcasted less frequently.

Abstract: A method for monitoring and migrating a primary server transmitting a real time streaming protocol (RTSP) stream is provided. Backup servers monitor at least one primary server to determining whether the primary server is active. Upon determining that a primary server is inactive, the backup servers take over the connection on which the inactive primary server was streaming data and then take over the transmission of the RTSP stream. The backup server can further derive the position in a file of the next data needed to be transmitted.