A client device receives a broadcast content signal containing an interactive identifier over a managed network at a client device. The interactive identifier may be a trigger that is included in a header or embedded within the digital video data. The trigger may have a temporal component, wherein the trigger can expire after a certain period of time. In response to identification of the trigger, the client device sends a user request for interactive content over an unmanaged network. For example, the managed network may be a one-way satellite television network, IP-television network or cable television network and the unmanaged network may be the Internet. The client device switches between receiving data from the managed network to receiving data from the unmanaged network.

A client device receives a broadcast content signal containing an interactive identifier over a managed network at a client device. The interactive identifier may be a trigger that is included in a header or embedded within the digital video data. The trigger may have a temporal component, wherein the trigger can expire after a certain period of time. In response to identification of the trigger, the client device sends a user request for interactive content over an unmanaged network. For example, the managed network may be a one-way satellite television network, IP-television network or cable television network and the unmanaged network may be the Internet. The client device switches between receiving data from the managed network to receiving data from the unmanaged network.

Provided are techniques for providing animation in electronic communications. An image is generated by capturing multiple photographs from a camera or video camera. The first photograph is called the “key photo”. Using a graphics program, photos subsequent to the key photo are edited to cut an element common to the subsequent photos. The cut images are pasted into the key photo as layers. The modified key photo, including the layers, is stored as a web-enabled graphics file, which is then transmitted in conjunction with electronic communication. When the electronic communication is received, the key photo is displayed and each of the layers is displayed and removed in the order that each was taken with a short delay between photos. In this manner, a movie is generated with much smaller files than is currently possible.

Provided are techniques for providing animation in electronic communications. An image is generated by capturing multiple photographs from a camera or video camera. The first photograph is called the “key photo”. Using a graphics program, photos subsequent to the key photo are edited to cut an element common to the subsequent photos. The cut images are pasted into the key photo as layers. The modified key photo, including the layers, is stored as a web-enabled graphics file, which is then transmitted in conjunction with electronic communication. When the electronic communication is received, the key photo is displayed and each of the layers is displayed and removed in the order that each was taken with a short delay between photos. In this manner, a movie is generated with much smaller files than is currently possible.

A method and apparatus for characteristic-based video processing include: in response to receiving a region of a picture of a video sequence, determining a characteristic in the region, the region being independent of other regions of the picture for video coding; determining a class associated with the region based on the characteristic, the class being selected from a plurality of classes; and encoding the region using a parameter set associated with the class, the parameter set being selected from a plurality of parameter sets for video coding at different quality levels.

A method and apparatus for characteristic-based video processing include: in response to receiving a region of a picture of a video sequence, determining a characteristic in the region, the region being independent of other regions of the picture for video coding; determining a class associated with the region based on the characteristic, the class being selected from a plurality of classes; and encoding the region using a parameter set associated with the class, the parameter set being selected from a plurality of parameter sets for video coding at different quality levels.

Techniques and systems are provided for generating a background picture. The background picture can be used for coding one or more pictures. For example, a method of generating a background picture includes generating a long-term background model for one or more pixels of a background picture. The long-term background model includes a statistical model for detecting long-term motion of the one or more pixels in a sequence of pictures. The method further includes generating a short-term background model for the one or more pixels of the background picture. The short-term background model detects short-term motion of the one or more pixels between two or more pictures. The method further includes determining a value for the one or more pixels of the background picture using the long-term background model and the short-term background model.

Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.

Embodiments of the invention are directed to a computer-implemented method that includes using a reinforcement learning (RL) system to generate a first set of displayed region candidates based on inputs received from online users while watching video. A recommendation system is used to rank the first set of displayed region candidates based on inputs received from a local user watching video. The recommendation system is further used to select a first highest ranked one of the first set of displayed region candidates. Based on the first highest ranked one of the first set of displayed region candidates, a first section of a first raw video frame is fetched that matches the first highest ranked one of the first set of displayed candidate regions, wherein the first section of the first raw video frame includes a first predicted display region of the video frame.

Methods, systems, and computer readable media for compressing video images are disclosed. According to one exemplary method, the method includes classifying image pixels in each video image of a series of video images as either foreground or background. The method also includes replacing each pixel classified as background with a time-averaged value of pixel intensity for that pixel. The method further includes compressing the video images using a compression algorithm.