An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. Context can include any available information that is usable by the assistant to supplement explicit user input to constrain an information-processing problem and/or to personalize results. Context can be used to constrain solutions during various phases of processing, including, for example, speech recognition, natural language processing, task flow processing, and dialog generation.

Using context information to facilitate processing of commands in a virtual assistant

An electronic device may capture a voice command from a user. The electronic device may store contextual information about the state of the electronic device when the voice command is received. The electronic device may transmit the voice command and the contextual information to computing equipment such as a desktop computer or a remote server. The computing equipment may perform a speech recognition operation on the voice command and may process the contextual information. The computing equipment may respond to the voice command. The computing equipment may also transmit information to the electronic device that allows the electronic device to respond to the voice command.

Electronic Devices with Voice Command and Contextual Data Processing Capabilities

In a display apparatus and a driving method thereof, a detector determines whether a timing controller is operated in a three-dimensional (3D) mode or a two-dimensional (2D) mode to output a first or second mode signal according to a result of the determination. A compensator compensates for a gamma value of a 3D image to be increased in response to a first mode signal when the 2D mode is converted to the 3D mode and decreases an increased gamma value to a gamma value for a 2D image in response to a second mode signal when the 3D mode is converted to the 2D mode.

Display apparatus and method of driving the same

A system for collecting data comprising a mobile terminal for capturing a plurality of frames of image data, the mobile terminal having a first imaging assembly and a second imaging assembly, the first imaging assembly for capturing a first frame of image data representing a first object and the second imaging assembly for capturing a second frame of image data representing a second object, wherein the system for use in collecting data is operative for associating first frame information and second frame information, the first frame information including one or more of image data of the first frame of image data and information derived utilizing the image data of the first frame of image data, the second frame information including one or more of image data of the second frame of image data and information derived utilizing the image data of the second frame of image data.

Apparatus, system, and method of use of imaging assembly on mobile terminal

Some embodiments of the invention provide a mobile device that captures and produces images with high dynamic ranges. To capture and produce a high dynamic range image, the mobile device of some embodiments includes novel image capture and processing modules. In some embodiments, the mobile device produces a high dynamic range (HDR) image by (1) having its image capture module rapidly capture a succession of images at different image exposure durations, and (2) having its image processing module composite these images to produce the HDR image.

Capturing and rendering high dynamic range images

Various techniques are provided for processing image data acquired using a digital image sensor 90. In accordance with aspects of the present disclosure, one such technique may relate to the processing of image data in a system 10 that supports multiple image sensors 90. In one embodiment, the image processing system 32 may include control circuitry configured to determine whether a device is operating in a single sensor mode (one active sensor) or a dual sensor mode (two active sensors). When operating in the single sensor mode, data may be provided directly to a front-end pixel processing unit 80 from the sensor interface of the active sensor. When operating in a dual sensor mode, the image frames from the first and second sensors 90a, 90b are provided to the front-end pixel processing unit 80 in an interleaved manner. For instance, in one embodiment, the image frames from the first and second sensors 90a, 90b are written to a memory 108, and then read out to the front-end pixel processing unit 80 in an interleaved manner.

Dual image sensor image processing system and method

Various techniques are provided for the detection and correction of defective pixels in an image sensor. In accordance with one embodiment, a static defect table storing the locations of known static defects is provided, and the location of a current pixel is compared to the static defect table. If the location of the current pixel is found in the static defect table, the current pixel is identified as a static defect and is corrected using the value of the previous pixel of the same color. If the current pixel is not identified as a static defect, a dynamic defect detection process includes comparing pixel-to-pixel gradients between the current pixel a set of neighboring pixels against a dynamic defect threshold. If a dynamic defect is detected, a replacement value for correcting the dynamic defect may be determined by interpolating the value of two neighboring pixels on opposite sides of the current pixel in a direction exhibiting the smallest gradient.

System and method for detecting and correcting defective pixels in an image sensor

Systems and methods for local tone mapping are provided. In one example, an electronic device includes an electronic display, an imaging device, and an image signal processor. The electronic display may display images of a first bit depth, and the imaging device may include an image sensor that obtains image data of a higher bit depth than the first bit depth. The image signal processor may process the image data, and may include local tone mapping logic that may apply a spatially varying local tone curve to a pixel of the image data to preserve local contrast when displayed on the display. The local tone mapping logic may smooth the local tone curve applied to the intensity difference between the pixel and another nearby pixel exceeds a threshold.

Systems and methods for local tone mapping

A method for improving rate distortion performance of a compression system through parallel coefficient cancellation in a transform comprising the steps of (A) determining a block sum of absolute values for each of a plurality of blocks in a macroblock and (B) setting one or more coefficient values of a block to zero in response to a block sum value of said block being less than a first predetermined threshold value.

Guy Cote

Papers

Capturing and rendering high dynamic range images

Dual image sensor image processing system and method

System and method for detecting and correcting defective pixels in an image sensor

Systems and methods for local tone mapping

Method for improving rate-distortion performance of a video compression system through parallel coefficient cancellation in the transform