Patent classifications
H04N5/772
Techniques for processing recorded data using docked recording devices
Various embodiments of the present disclosure increase the technical utility of a recording device and local recording device system by enabling a recording device to use a machine learning model to process media content received from a separate recording device. This allows a machine learning model to be used to process media content at a local system without a remote network connection or independent of whether a remote computing system is available over a network connection. Many embodiments eliminate the need for a separate computing device altogether for purposes of using a machine learning model. Embodiments of the present disclosure also decrease the time required to complete processing of a media file by processing the media file in parallel among multiple recording devices and/or by eliminating time associated with uploading a media file to cloud-based system and receiving one or more output values back from the cloud-based system.
Automated adjustment of digital camera image capture parameters
A portable electronic device with image capturing capabilities automatically or semi-automatically adjusts one or more image capturing parameters based on an input attribute of user engagement with a single-action haptic input mechanism. For example, the duration for which a single-action control button carried on a frame of the device is pressed automatically determines an image stabilization mode for on-board processing of captured image data. In one example, an above-threshold press duration automatically activates a less rigorous image stabilization mode, while button release before expiry of the threshold automatically activates a more rigorous photo stabilization mode.
Image capturing control apparatus capable of displaying OSD and image capturing control method
An image capturing control apparatus that enables a user to recognize a transparency of OSD for recording. A system controller sets a transparency of OSD superimposed on a captured LV image and sets whether or not to record the captured image in a state combined with the OSD, as an image file. The OSD is displayed in a state superimposed on the LV image at a transparency of OSD for display, regardless of a setting concerning recording of the image file, and in a case where it is set to record the LV image in the state combined with the OSD, the OSD is displayed according to a specific operation, in a state superimposed on the LV image, at a transparency of OSD for recording, regardless of the transparency of OSD for display.
Recording and reproducing apparatus and method of controlling recording and reproducing apparatus
An apparatus includes a first writing unit configured to write data to a recording medium in a first unit, a second writing unit configured to write data to the recording medium in a second unit smaller than the first unit, a reading unit configured to read data from the recording medium, and a control unit configured to perform control, in response to an instruction of reading data from the recording medium during writing data by the first writing unit, to stop writing data by the first writing unit, and then to read data from the recording medium by the reading unit, and, in response to completion of reading data from the recording medium, to write data in the second unit by the second writing unit.
CONTEXT-CONTROLLED VIDEO QUALITY CAMERA SYSTEM
A context-controlled video quality camera system running a software application to perform video quality settings actions in response to triggering conditions suggesting a recording context in which particular values of one or more video quality settings are preferred. Triggering conditions include a geolocation of a camera device, a present time, and/or sensed ambient conditions. Video quality settings actions include either automatically adjusting settings to the particular values or prompting a user to select whether to adjust the settings. Rules having triggering conditions and corresponding video quality settings actions can include default rules of the software application. The rules can be updated on the user's own initiative or in response to identified triggering patterns of user activity, either automatically or as selected by a user in response to automatic pro
Image sensor, image pickup apparatus, image sensor-identifying method, image forgery-preventing method, and image alternation-limiting method
An image sensor 30 includes an image information processing unit 4 that forms integrated information in which image sensor identification information capable of identifying the image sensor 30 and image information obtained by an analog/digital conversion unit 25 are associated with each other, and an image information output unit 24 that outputs the integrated information to an external unit.
USER INTERFACE FOR IMAGE CAPTURE
The present disclosure provides systems, apparatus, methods, and computer-readable media that support linking paused video recordings captured over a period of time. In a first aspect, a method of image processing may include determining a match between first image data and second image data; presenting an indication to a user of the match; receiving user input responsive to the indication; and based on determining the match and the user input indicating to combine the first image data and the second image data, determining output image data comprising at least some of the first image data and at least some of the second image data. Other aspects and features are also claimed and described.
Systems and Methods for Previewing Newly Captured Image Content and Reviewing Previously Stored Image Content
Systems and methods for previewing newly captured image content and reviewing previously stored image content using an electronic device are provided. The previously stored image content may include an individual distinct image or at least two consecutive video frame images.
Image encoder, an image sensing device, and an operating method of the image encoder
The present disclosure provides an image encoder. The image encoder is configured to encode an original image and reduce compression loss. The image encoder comprises an image signal processor and a compressor. The image signal processor is configured to receive a first frame image and a second frame image and generates a compressed image of the second frame image using a boundary pixel image of the first frame image. The image signal processor may include memory configured to store first reference pixel data which is the first frame image. The compressor is configured to receive the first reference pixel data from the memory and generate a bitstream obtained by encoding the second frame image based on a difference value between the first reference pixel data and the second frame image. The image signal processor generates a compressed image of the second frame image using the bitstream generated by the compressor.
Recording system and recording method
A recording system includes a recording data acquisition unit, an analysis unit, a learning unit, and a determination unit. The recording data acquisition unit acquires recording data in which a surrounding situation of a vehicle is recorded. The analysis unit performs image analysis processing on video data included in the recording data to create information regarding a transition of a color component in the video data. The learning unit learns the transition of the color component using artificial intelligence to create a trained model used to determine an occurrence of an event. The determination unit determines whether an event occurs using the trained model on a basis of the recording data. When the determination unit determines the occurrence of the event, the event recording control unit causes a recording unit to record, as event recording data, the recording data including a time point upon the occurrence of the event.