An image capturing device, image capturing system, and image processing method, each of which: obtains a video image of an object; converts a wide-angle video image to generate a low-definition, wide-angle image; applies projection transformation to a part of the wide-angle video image to generate a high-definition, narrow-angle video image in different projection; combines each frame of the low-definition, wide-angle video image and a corresponding frame of the high-definition, narrow-angle video image, into one frame data while reducing a resolution of each video image, to generate a combined video image; transmits the combined video image for display at a communication terminal; in response to a request from the communication terminal, applies projection transformation to a part of a frame of the wide-angle video image to generate an ultra-high-definition, narrow-angle still image in different projection; and transmits the ultra-high-definition, narrow-angle still image for display at the communication terminal.

An image capturing device, image capturing system, and image processing method, each of which: obtains a video image of an object; converts a wide-angle video image to generate a low-definition, wide-angle image; applies projection transformation to a part of the wide-angle video image to generate a high-definition, narrow-angle video image in different projection; combines each frame of the low-definition, wide-angle video image and a corresponding frame of the high-definition, narrow-angle video image, into one frame data while reducing a resolution of each video image, to generate a combined video image; transmits the combined video image for display at a communication terminal; in response to a request from the communication terminal, applies projection transformation to a part of a frame of the wide-angle video image to generate an ultra-high-definition, narrow-angle still image in different projection; and transmits the ultra-high-definition, narrow-angle still image for display at the communication terminal.

An exemplary method for intelligent compression uses a foveated-compression approach. First, the location of a fixation point within an image frame is determined. Next, the image frame is sectored into two or more sectors such that one of the two or more sectors is designated as a fixation sector and the remaining sectors are designated as foveation sectors. A sector may be defined by one or more tiles within the image frame. The fixation sector includes the particular tile that contains the fixation point and is compressed according to a lossless compression algorithm. The foveation sectors are compressed according to lossy compression algorithms. As the locations of foveation sectors increase in angular distance from the location of the fixation sector, a compression factor may be increased.

An exemplary method for intelligent compression uses a foveated-compression approach. First, the location of a fixation point within an image frame is determined. Next, the image frame is sectored into two or more sectors such that one of the two or more sectors is designated as a fixation sector and the remaining sectors are designated as foveation sectors. A sector may be defined by one or more tiles within the image frame. The fixation sector includes the particular tile that contains the fixation point and is compressed according to a lossless compression algorithm. The foveation sectors are compressed according to lossy compression algorithms. As the locations of foveation sectors increase in angular distance from the location of the fixation sector, a compression factor may be increased.

The disclosure relates to optimizing and improving VR video resolution and bandwidth usage for VR videos. The processes and systems include receiving a video input and reassigning pixels within a viewport to maximize resolution around the center of the viewport. The process can include video frame stamping to provide a mechanism for a client-side player to determine characteristics of an optimized video frame display.

The disclosure relates to optimizing and improving VR video resolution and bandwidth usage for VR videos. The processes and systems include receiving a video input and reassigning pixels within a viewport to maximize resolution around the center of the viewport. The process can include video frame stamping to provide a mechanism for a client-side player to determine characteristics of an optimized video frame display.

Embodiments of the systems and methods described herein relate to providing body worn camera functionality to users, such as on their mobile device. Additionally, capabilities of mobile devices such as mobile telephonic devices are leveraged to stream captured audio/visual data in real-time and provide robust notification and safety features to users in order to democratize access to body worn cameras. The additional features promote increased use of the disclosed systems and methods as a safety tool while simultaneously providing increased transparency in law enforcement.

Embodiments of the systems and methods described herein relate to providing body worn camera functionality to users, such as on their mobile device. Additionally, capabilities of mobile devices such as mobile telephonic devices are leveraged to stream captured audio/visual data in real-time and provide robust notification and safety features to users in order to democratize access to body worn cameras. The additional features promote increased use of the disclosed systems and methods as a safety tool while simultaneously providing increased transparency in law enforcement.

There is provided an encoding apparatus. A data processing unit generates binary data by performing data processing, including binarization processing, with respect to image data that has been input from an image capturing unit. An arithmetic coding unit generates arithmetic code data by performing arithmetic coding of the binary data. A control unit performs control so as to record the arithmetic code data into a recording unit. When the image data is still image data generated during continuous shooting of still images, the control unit performs control so as to record the binary data into the recording unit without generating the arithmetic code data.

There is provided an encoding apparatus. A data processing unit generates binary data by performing data processing, including binarization processing, with respect to image data that has been input from an image capturing unit. An arithmetic coding unit generates arithmetic code data by performing arithmetic coding of the binary data. A control unit performs control so as to record the arithmetic code data into a recording unit. When the image data is still image data generated during continuous shooting of still images, the control unit performs control so as to record the binary data into the recording unit without generating the arithmetic code data.