An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

Systems and methods for streaming and playing back video having a variety of resolutions, frame rates, and/or sample aspect ratios, where the video streams are encoded at one of a number of maximum bit rate levels, in accordance with embodiments of the invention are disclosed. One embodiment includes a processor, and storage containing data relating combinations of resolution and frame rates to maximum bitrates, where a plurality of resolution and frame rates that are related to the same maximum bitrate form a maximum bitrate level. In addition, an encoding application configures the processor to encode a video stream as a plurality of video streams having different resolutions and frame rates, where the target maximum bitrate used during the encoding is selected based upon the maximum bitrate levels of the resolution and frame rate combinations indicated within the data relating combinations of resolution and frame rates to maximum bitrates.

An infrared information display apparatus according to the present disclosure includes a first black-body furnace; a second black-body furnace that has a temperature different from a temperature of the first black-body furnace; a drive control unit configured to perform drive switching control of reflecting a temperature corresponding to input temperature information of a far-infrared image by switching radiation light reflected by a reflecting mirror from radiation light of the first black-body furnace to radiation light of the second black-body furnace based on the temperature information; and a reflecting section that has a plurality of two-dimensionally disposed reflecting mirrors corresponding to each pixel of the far-infrared image and of which a direction is changed by the drive switching control.

A computer-implemented method includes performing analysis to determine information associated with a high dynamic range (HDR) media content item. A standard dynamic range (SDR) version of the HDR media content item is derived using HDR metadata. The derivation including encoding the HDR media content item to SDR content and normalizing data of the SDR content. The HDR metadata and the SDR version of the HDR media content item are transmitted with embedding of the HDR metadata within a protocol with the SDR version to a storage service. The HDR metadata and the SDR version are caused to be received at a display device. The SDR version is converted to HDR per incremental portion with a dynamic range bounded based on the HDR metadata of the protocol.

Disclosed are an image processing method and device using a line-wise operation. The image processing device, according to one embodiment, comprises: a receiver for receiving an image; a first convolution operator for generating a feature map by performing a convolution operation on the basis of the image; and a compressor for compressing the feature map into units of at least one line; and a decompressor for reconstructing the feature map compressed into units of lines.

Positions of an image capture device may be used to determine a position-based time-lapse video frame factor. Apparent motion between pairs of images may be used to determine a visual-based time-lapse video frame rate factor. A time-lapse video frame rate for a time-lapse video may be determined based on the position-based time-lapse video frame factor and the visual-based time-lapse video frame rate factor.

Disclosed is a display device including a motor, a driving gear rotated by the motor, a rotating gear engaged with the driving gear to rotate around a rotation axis and including a plurality of holes, a display connected to the rotating gear to rotate around the rotation axis, a rotation sensor configured to output a signal indicating whether a hole included in the rotating gear is detected, and a processor configured to control the motor to change a rotation speed of the display based on the signal output by the rotation sensor.

A security system includes a surveillance device that monitors a predetermined event and captures images in a monitor scene; and a controller that controls the surveillance device and transmits the captured images. The surveillance device adjusts image capture amount, image transmit amount, image transmit order or image resolution when the predetermined event is detected and an object is detected on the captured images.

An apparatus and method relating to use of a physical writing surface (132) during a videoconference or presentation. Snapshots of a whiteboard (132) are identified by applying a difference measure to the video data (e.g., as a way of comparing frames at different times). Audio captured by a microphone may be processed to generate textual data, wherein a portion of the textual data is associated with each snapshot. The writing surface may be identified (enrolled) using gestures. Image processing techniques may be used to transform views of a writing surface.

The present embodiments relate generally to a system and method for generating images from ultrasound imaging data. The system can include a data acquisition processor, and administrator processor, a user device, and a server. The method can include transmitting images to a server, applying an implicit misfit function to generate a first set of images, then, based on this first set, apply an explicit misfit function to generate a second set of images of higher accuracy.