The present disclosure pertains to an image-processing device and method that make it possible to suppress block noise. A βLUT_input calculator and a clip processor determine βLUT_input, which is a value inputted to an existing-β generator and an expanded-β generator. When the value of βLUT_input qp from the clip processor is 51 or less, the existing-β generator determines β using a LUT conforming to the HVEC standard, and supplies same to a filter process determination unit. When the value of βLUT_input qp from the clip processor is larger than 51, the expanded-β generator determines the expanded β and supplies same to the filter process determination part. This disclosure, for example, can be applied to an image processing device.

Image processing device and method

A system for targeting advertising content includes the steps of: (a) receiving respective requests for advertising content corresponding to a plurality of mobile communication facilities operated by a group of users, wherein the plurality includes first and second types of mobile communication facilities with different rendering capabilities; (b) receiving a datum corresponding to the group; (c) selecting from a first and second sponsor respective content based on a relevancy to the datum, wherein each content includes a first and second item requiring respective rendering capabilities; (d) receiving bids from the first and second sponsors; (e) attributing a priority to the content of the first sponsor based upon a determination that a yield associated with the first sponsor is greater than a yield associated with the second sponsor; and (f) transmitting the first and second items of the first sponsor to the first and second types of mobile communication facilities respectively.

System for Targeting Advertising Content to a Plurality of Mobile Communication Facilities

A system predicts a search query term, wherein the prediction is based at least in part on a plurality of keystrokes entered on a mobile communication facility and wherein the prediction is further based at least in part on information relating to the mobile communication facility and/or its user.

Predictive text completion for a mobile communication facility

A system for receiving data associated with a mobile content is configured to calculate an expected value of the mobile content based at least in part on the data received, and determine a bid amount for a sponsorship of the mobile content based at least in part on the expected value.

Dynamic bidding and expected value

Disclosed herein is a method and system for hardware-accelerating various data processing operations in a rule-based decision-making system such as a business rules engine, an event stream processor, and a complex event stream processor. Preferably, incoming data streams are checked against a plurality of rule conditions. Among the data processing operations that are hardware-accelerated include rule condition check operations, filtering operations, and path merging operations. The rule condition check operations generate rule condition check results for the processed data streams, wherein the rule condition check results are indicative of any rule conditions which have been satisfied by the data streams. The generation of such results with a low degree of latency provides enterprises with the ability to perform timely decision-making based on the data present in received data streams.

Method and system for accelerated stream processing

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.

Video decoding implementations for a graphics processing unit

A method which enables game developers to capture user actions and to automatically solicit user feedback as game events occur, so that game developers can then use this data to “tune” the game to improve a user's experience is disclosed herein. To develop game data, function calls and user inputs are recorded in a log file. Also, players can provide feedback on game play after predetermined events occur (e.g., player finishes level) or through a pause menu. By allowing a development team to better understand a user's experience in game play, the game can be tuned to improve the user's experience.

Method and apparatus for developing an electronic game using automatic user feedback

A method for analyzing the performance of a video game uses a diagnostic tool that is associated with application code of the video game. The diagnostic tool is activated when the video game is in operation, and real-time performance data is captured and displayed. A warning is generated when a performance metric violates a pre-set condition. The warning may be displayed on a display screen that is used to provide information for rectifying the violation.

Real-time analysis of performance data of a video game

Inserting key frames during indexing of a trace for responsive trace replay. A method includes identifying responsiveness goal(s) for trace replay, including identifying a target trace section replay time. A portion of execution of executable entit(ies) is replayed based on first trace data stream(s). While replaying execution of the executable entit(ies), and based on the identified target trace section replay time, points of interest in execution of the executable entit(ies) are identified. Second trace data stream(s) are recorded, which includes inserting a key frame into the second trace data stream(s) at, or near, each of the identified points of interest, to create a plurality of trace sections. Each key frame enables replay of at least one of the executable entities beginning at the key frame.

Indexing a trace by insertion of key frames for replay responsiveness

Augmenting a trace with at least one reverse lookup data structure during indexing of the trace. A method includes receiving trace data observed during execution of executable entit(ies), and replaying a plurality of different sections of the trace data. The replay includes, for each trace section, executing a plurality of code instructions of the executable entit(ies) based on the section's portion of the trace data, and recording attribute(s) observed during the execution of the code instructions along with an identity of the trace section. At least one reverse lookup data structure is created. It associates each of at least a subset of the attributes observed during the replay of the plurality of trace sections with the identity of each trace section in which it was observed. This reverse lookup data structure is stored as part of one or more trace data streams.

Juan Carlos Arevalo Baeza

Papers

Video decoding implementations for a graphics processing unit

Method and apparatus for developing an electronic game using automatic user feedback

Real-time analysis of performance data of a video game

Indexing a trace by insertion of key frames for replay responsiveness

Indexing a trace by insertion of reverse lookup data structures