An embodiment provides a method, including: identifying a first type of media and a second type of media; determining a compression technique to be used to compress a combined media created from the first type of media and the second type of media; and aligning using a processor, based on the compression technique determined, the first type of media and the second type of media to create the combined media. Other aspects are described and claimed.

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.

Systems, apparatus, articles, and methods are described below including operations for dynamic on screen display using a compressed video stream.

Systems, apparatus, articles, and methods are described below including operations for dynamic on screen display using a compressed video stream.

A system and method for encoding a video signal having a sequence of frames including a reference frame and a current frame is disclosed. The method includes encoding at a least a portion of the reference frame using a low-quality encoding scheme and encoding the current frame using the reference frame so that the encoded current frame includes at least one pixel encoded using the low-quality encoding scheme. The method also includes identifying a portion of the encoded current frame that includes at least one pixel encoded using the low-quality encoding scheme. The method also includes encoding the identified portion of the current frame using a high-quality encoding scheme.

Aspects of the subject disclosure may include, for example, a method that includes obtaining, by a processing system including a processor, video frames over a network; the processing system uses a machine learning algorithm to identify in each frame a first region comprising a natural image and a second region comprising a synthetic graphic image. The processing system separates the natural image from the synthetic graphic image to generate a natural video and a graphics video, encodes the natural video, and processes the graphics video to generate instructions for rendering graphic images at a client system. The client system performs a decoding procedure for the encoded video, a rendering procedure for client-side graphics in accordance with the instructions, and a compositing procedure to obtain a presentable video stream including the natural image and a client-side graphic corresponding to the synthetic graphic image. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a method that includes obtaining, by a processing system including a processor, video frames over a network; the processing system uses a machine learning algorithm to identify in each frame a first region comprising a natural image and a second region comprising a synthetic graphic image. The processing system separates the natural image from the synthetic graphic image to generate a natural video and a graphics video, encodes the natural video, and processes the graphics video to generate instructions for rendering graphic images at a client system. The client system performs a decoding procedure for the encoded video, a rendering procedure for client-side graphics in accordance with the instructions, and a compositing procedure to obtain a presentable video stream including the natural image and a client-side graphic corresponding to the synthetic graphic image. Other embodiments are disclosed.

Embodiments of the present invention provide a system for generating and displaying tailored advertisements in a mixed reality environment. The system is configured for continuously identifying one or more objects in a mixed reality environment, identifying the one or more objects match advertising targets, generating a tailored advertisement, transmitting the tailored advertisement to the user device, causing the user device to display the tailored advertisement, determining that the user is interacting with the tailored advertisement, and capturing one or more metrics associated with the interaction of the user with the tailored advertisement.

Methods incorporating extensions to copy-above mode for palette mode coding are disclosed. In one aspect, the method includes coding a current pixel of a current block of video data in copy-previous mode via coding a previous line index. The coding of the current pixel in copy-previous mode further including identifying a number of candidate values for the previous line index, identifying a number of escape pixels in a column of pixels above the current pixel in the current block, and reducing a number of candidate values of the previous line index by the number of identified escape pixels.