CPC Class H04N

Tracking an object using an unmanned aerial vehicle is disclosed. A plurality of images showing the object is received from a camera of the unmanned aerial vehicle. A first static characteristic, a second static characteristic, a first dynamic characteristic, and a second dynamic characteristic of the object are determined. The second static characteristic is compared to the first static characteristic, and the second dynamic characteristic is compared to the first dynamic characteristic. It is determined that the second static characteristic is approximately equal to the first static characteristic, and that the second dynamic characteristic is approximately equal to the first dynamic characteristic. Finally, it is determined that the object is moving.

A display method is for a display apparatus to display an image, and includes: obtaining a captured display image by an image sensor included in a terminal device; obtaining a light ID by visible light communication with a subject; obtaining an AR image and recognition information which are associated with the light ID from a memory included in the terminal device; recognizing a target region within the captured display image using the recognition information; and displaying the captured display image in which the AR image is superimposed on the target region.

A system includes a plurality of summarization engines, each summarization engine to receive video content, via a processing system, and to provide a summary of the video content, thereby providing a plurality of summaries of the video content. The system includes a plurality of meta-algorithmic patterns, each meta-algorithmic pattern to be applied to at least two of the summaries to provide, via the processing system, a meta-summary of the video content using the at least two summaries, thereby providing a plurality of meta-summaries of the video content. The system includes an evaluator to evaluate the plurality of summaries and the plurality of meta-summaries and to determine similarity measures of the video content over each given class of a plurality of classes of video content, and to select a class of the plurality of classes based on the determined similarity measures.