Apple Inc.

About: Apple Inc. is a company organization based out in Herzliya, Israel. It is known for research contribution in the topics: Signal & User interface. The organization has 15687 authors who have published 22600 publications receiving 624507 citations. The organization is also known as: Apple Computer, Inc. & Apple Computer Inc.

Media processing method and device

Abstract: A media processing system and device with improved power usage characteristics, improved audio functionality and improved media security is provided. Embodiments of the media processing system include an audio processing subsystem that operates independently of the host processor for long periods of time, allowing the host processor to enter a low power state while the audio data is being processed. Other aspects of the media processing system provide for enhanced audio effects such as mixing stored audio samples into real-time telephone audio. Still other aspects of the media processing system provide for improved media security due to the isolation of decrypted audio data from the host processor.

Adaptive Route Guidance Based on Preferences

Abstract: Adaptive route guidance can include analyzing route progressions associated with one or more routes based on multiple user preferences. The adaptive route guidance can provide one or more preferred routes based on the user preferences including those derived from historical selection or use, which can be presented to a user for navigation purposes.

System for automatically retrieving information relevant to text being authored

Abstract: Text entry and information retrieval are combined in such a way as to automatically offer an author continuous retrieval of information potentially relevant to the text he is authoring. The author enters text in one portion of the user interface. Keywords are extracted from the text as the author enters them and are used as query words for an information retrieval mechanism to a document collection. Those queries return relevant information from the document collection in a second portion of the user interface. The user can then read or ignore the returned information or he can select the returned information to view the full context from which it came.

Image-capturing apparatus

Abstract: A digital camera enables high-speed zooming operation without use of a zoom lens Light originating from a fixed-focal-length lens is split into two beams by a beam splitter, to thus form respective images on a first image sensor and a second image sensor The first image sensor and the second image sensor are equal to each other in terms of the number of pixels, but differ from each other in terms of a pixel size The first image sensor acquires a wide image, and the second image sensor acquires a telephotography image An output is produced by means of switching between the first image sensor and the second image sensor, in response to zooming operation When the image from the first image sensor is recorded, focus detection is performed by use of an image signal from the second image sensor, to thus effect automatic focusing

A rapid tree-based method for vector quantization

Abstract: A fast vector quantization (VQ) method and apparatus is based on a binary tree search in which the branching decision of each node is made by a simple comparison of a pre-selected element of the candidate vector with a stored threshold resulting in a binary decision for reaching the next lower level. Each node has a preassigned element and threshold value. Conventional centroid distance training techniques (such as LBG and k-means) are used to establish code-book indices corresponding to a set of VQ centroids. The set of training vectors are used a second time to select a vector element and threshold value at each node that approximately splits the data evenly. After processing the training vectors through the binary tree using threshold decisions, a histogram is generated for each code-book index that represents the number of times a training vector belonging to a given index set appeared at each index. The final quantization is accomplished by processing and then selecting the nearest centroid belonging to that histogram. Accuracy comparable to that achieved by conventional binary tree VQ is realized but with almost a full magnitude increase in processing speed.