Abstract: Touchscreen testing techniques are described. In one or more implementations, a conductor is placed proximal to a touchscreen device and the touchscreen device is tested by simulating a touch of a user by placing the conductor in a grounded state and lack of a touch by the user by placing the conductor in an ungrounded state.

Abstract: In embodiments of angular contact geometry, touch input sensor data is recognized as a touch input on a touch-screen display, such as a touch-screen display integrated in a mobile phone or portable computing device. A sensor map is generated from the touch input sensor data, and the sensor map represents the touch input. The sensor map can be generated as a two-dimensional array of elements that correlate to sensed contact from a touch input. An ellipse can then be determined that approximately encompasses elements of the sensor map, and the ellipse represents a contact shape of the touch input.

Abstract: Video image stabilization provides better performance on a generic platform for computing devices by evaluating available multimedia digital signal processing components, and selecting the available components to utilize according to a hierarchy structure for video stabilization performance for processing parts of the video stabilization. The video stabilization has improved motion vector estimation that employs refinement motion vector searching according to a pyramid block structure relationship starting from a downsampled resolution version of the video frames. The video stabilization also improves global motion transform estimation by performing a random sample consensus approach for processing the local motion vectors, and selection criteria for motion vector reliability. The video stabilization achieves the removal of hand shakiness smoothly by real-time one-pass or off-line two-pass temporal smoothing with error detection and correction.

Abstract: In embodiments of multi-finger detection and component resolution, touch input sensor data is recognized as a component of a multi-finger gesture on a touch-screen display. An ellipse is determined that approximately encompasses the component, and the ellipse has a primary axis and a secondary axis that are orthogonal. A distribution is then generated that projects sensor data elements from the primary axis based on detected intensity of the touch input sensor data. A histogram function can then be generated based on the distribution, where the histogram function indicates individual contacts of the component and separation of the individual contacts.

Abstract: Video image stabilization provides better performance on a generic platform for computing devices by evaluating available multimedia digital signal processing components, and selecting the available components to utilize according to a hierarchy structure for video stabilization performance for processing parts of the video stabilization. The video stabilization has improved motion vector estimation that employs refinement motion vector searching according to a pyramid block structure relationship starting from a downsampled resolution version of the video frames. The video stabilization also improves global motion transform estimation by performing a random sample consensus approach for processing the local motion vectors, and selection criteria for motion vector reliability. The video stabilization achieves the removal of hand shakiness smoothly by real-time one-pass or off-line two-pass temporal smoothing with error detection and correction.

Abstract: A water spraying apparatus of a diswasher and the diswasher comprising the water spraying apparatus are provided. The water spraying apparatus comprises a water source connecting pipe having a water outlet tube, a spraying arm having a water inlet tube, and a connecting device connecting the water source connecting pipe with the spraying arm, in which the connecting device comprises first and second semicircular fitting rings which are adapted to snap-fit with each other to form a connecting ring, the connecting ring is rotatably fitted over the water outlet tube of the water source connecting pipe and positioned in an axial direction of the connecting ring between the water inlet tube of the spraying arm and the water outlet tube of the water source connecting pipe.

Abstract: Decoding tasks are identified for decoding encoded video. Decoding tasks may include entropy decoding tasks, motion compensation tasks, inverse frequency transform tasks, inverse quantization tasks, intra decoding tasks, loop filtering tasks, or other tasks. Task dependencies are identified for the video decoding tasks. For example, one or more decoding tasks may depend on prior completion of entropy decoding tasks. The decoding tasks are prioritized based at least in part on the task dependencies. For example, a higher priority may be assigned to tasks that must be completed before other tasks that depend on them can begin. Prioritized decoding tasks are selected to be performed by hardware threads. For example, a first hardware thread may perform a first decoding task that does not depend on any uncompleted tasks while a second hardware thread performs a second decoding task that does not depend on any uncompleted tasks.

Abstract: In embodiments of multi-pass touch contact tracking, touch input sensor data is recognized as a series of components of a contact on a touch-screen display. The components can be determined to correlate to the contact based on multi-pass nearest-neighbor contact mapping that includes forward nearest-neighbor contact mapping of the components and reverse nearest-neighbor contact mapping of the components. The components can then be associated to represent a tracking of the contact. Subsequent components of the contact can also be determined and associated with the previous components of the contact to further represent the tracking of the contact.

Abstract: Decoding tasks are identified for decoding encoded video. Decoding tasks may include entropy decoding tasks, motion compensation tasks, inverse frequency transform tasks, inverse quantization tasks, intra decoding tasks, loop filtering tasks, or other tasks. Task dependencies are identified for the video decoding tasks. For example, one or more decoding tasks may depend on prior completion of entropy decoding tasks. The decoding tasks are prioritized based at least in part on the task dependencies. For example, a higher priority may be assigned to tasks that must be completed before other tasks that depend on them can begin. Prioritized decoding tasks are selected to be performed by hardware threads. For example, a first hardware thread may perform a first decoding task that does not depend on any uncompleted tasks while a second hardware thread performs a second decoding task that does not depend on any uncompleted tasks.

Abstract: Touchscreen testing techniques are described. In one or more implementations, a piece of conductor (e.g., metal) is positioned as proximal to a touchscreen device and the touchscreen device is tested by simulating a touch of a user. This technique may be utilized to perform a variety of different testing of a touchscreen device, such as to test latency and probabilistic latency. Additional techniques are also described including contact geometry testing techniques.

Abstract: Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.

Abstract: Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.

Abstract: An ultrasound volume probe navigation and control method is provided. The method includes acquiring scan data in a three-dimensional scan mode, forming a navigation view based on a three-dimensional matrix formed by the scan data in beam space, determining a critical area on the navigation view, and navigating and controlling the ultrasound volume probe based on whether a blood vessel is in the critical area.

Abstract: Decoding tasks are identified for decoding encoded video. Decoding tasks may include entropy decoding tasks, motion compensation tasks, inverse frequency transform tasks, inverse quantization tasks, intra decoding tasks, loop filtering tasks, or other tasks. Task dependencies are identified for the video decoding tasks. For example, one or more decoding tasks may depend on prior completion of entropy decoding tasks. The decoding tasks are prioritized based at least in part on the task dependencies. For example, a higher priority may be assigned to tasks that must be completed before other tasks that depend on them can begin. Prioritized decoding tasks are selected to be performed by hardware threads. For example, a first hardware thread may perform a first decoding task that does not depend on any uncompleted tasks while a second hardware thread performs a second decoding task that does not depend on any uncompleted tasks.

Abstract: In embodiments of multi-finger detection and component resolution, touch input sensor data is recognized as a component of a multi-finger gesture on a touch-screen display. An ellipse is determined that approximately encompasses the component, and the ellipse has a primary axis and a secondary axis that are orthogonal. A distribution is then generated that projects sensor data elements from the primary axis based on detected intensity of the touch input sensor data. A histogram function can then be generated based on the distribution, where the histogram function indicates individual contacts of the component and separation of the individual contacts.

Abstract: This document describes techniques and apparatuses enabling an edge gesture. In some embodiments, these techniques and apparatuses enable selection of a user interface not currently exposed on a display through an edge gesture that is easy-to-use and remember.

Abstract: This document describes techniques and apparatuses enabling an edge gesture. In some embodiments, these techniques and apparatuses enable selection of a user interface not currently exposed on a display through an edge gesture that is easy-to-use and remember.

Abstract: An encoder is disclosed that is partitioned into discrete hardware modules. The discrete modules include multiple re-entry and exit points that allow enhanced control by software. The software can control the discrete modules during the encoding process and make adjustments according to CPU bandwidth and/or user requirements allowing for enhanced quality control and seamless hardware/software operations. In one embodiment, a media stream is received into an encoder that includes a pipeline of multiple hardware stages for encoding. An intermediate result is provided from at least one of the hardware stages to an encoding control module that processes the intermediate result to determine configuration instructions for a next hardware stage in the pipeline. Thus, the encoding process can be modified dynamically through hardware and software interactions as the media stream progresses through the pipeline of the encoder.

Abstract: Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.

Abstract: In embodiments of multi-pass touch contact tracking, touch input sensor data is recognized as a series of components of a contact on a touch-screen display. The components can be determined to correlate to the contact based on multi-pass nearest-neighbor contact mapping that includes forward nearest-neighbor contact mapping of the components and reverse nearest-neighbor contact mapping of the components. The components can then be associated to represent a tracking of the contact. Subsequent components of the contact can also be determined and associated with the previous components of the contact to further represent the tracking of the contact.