A smart phone senses audio, imagery, and/or other stimulus from a user's environment, and acts autonomously to fulfill inferred or anticipated user desires. In one aspect, the detailed technology concerns phone-based cognition of a scene viewed by the phone's camera. The image processing tasks applied to the scene can be selected from among various alternatives by reference to resource costs, resource constraints, other stimulus information (e.g., audio), task substitutability, etc. The phone can apply more or less resources to an image processing task depending on how successfully the task is proceeding, or based on the user's apparent interest in the task. In some arrangements, data may be referred to the cloud for analysis, or for gleaning. Cognition, and identification of appropriate device response(s), can be aided by collateral information, such as context. A great number of other features and arrangements are also detailed.

Intuitive computing methods and systems

Media objects are transformed into active, connected objects via identifiers embedded into them or their containers. In the context of a user's playback experience, a decoding process extracts the identifier from a media object and possibly additional context information and forwards it to a server. The server, in turn, maps the identifier to an action, such as returning metadata, re-directing the request to one or more other servers, requesting information from another server to identify the media object, etc. The linking process applies to broadcast objects as well as objects transmitted over networks in streaming and compressed file formats.

Connected audio and other media objects

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. Others involve use of these devices in connection with shopping, text entry, sign language interpretation, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern use of linked data in portable devices—some of which exploit GPU capabilities. Still other technologies concern computational photography. A great variety of other features and arrangements are also detailed.

Smartphone-based methods and systems

The present technology concerns cell phones and other portable devices, and more particularly concerns use of such devices in connection with media content (electronic and physical) and with other systems (e.g., televisions, digital video recorders, and electronic program directories). Some aspects of the technology allow users to easily transfer displayed content from cell phone screens onto a television screens for easier viewing, or vice versa for content portability. Others enable users to participate interactively in entertainment content, such as by submitting plot directions, audio input, character names, etc., yielding more engaging, immersive, user experiences. Still other aspects of the technology involve a program directory database, compiled automatically from information reported by network nodes that watch and identify content traffic passing into (and/or out of) networked computers. By identifying content resident at a number of different repositories (e.g., web sites, TV networks, P2P systems, etc.), such a directory allows cell phone users to identify the diversity of sources from which desired content can be obtained—some available on a scheduled basis, others available on demand. Depending on the application, the directory information may be transparent to the user—serving to identify sources for desired content, from which application software can pick for content downloading, based, e.g., on context and stored profile data. A great number of other features and arrangements are also detailed.

Media processing methods and arrangements

A method for decoding auxiliary data from media signals in multimedia content decodes watermarks from different media signals and uses the watermarks to control processing of the multimedia content. A copy control method decodes a watermark from one of the media signals in multimedia content, and uses the watermark to control processing of the multimedia content. Another method uses a watermark decoded from a first media signal to decode a second media signal. Yet another method uses a watermark decoded from a media signal to decode metadata associated with the media signal. Finally, another method forms a key for decoding data from at least first and second watermarks extracted from first and second media signals.

Integrating digital watermarks in multimedia content

The present invention relates to various digital watermarking methods, apparatus and systems. One claim recites a method of determining a size or denomination of a momentary object. The method includes: utilizing a configured, multi-purpose electronic processor, decoding a digital watermark embedded in a monetary object, the watermark including data corresponding to a denomination of the monetary object; based on the data, determining feedback to indicate the denomination of the monetary object; and providing the feedback. Handheld computing devices can be advantageously employed with this combination. Of course, other combinations are provided and claimed.

Digital watermarking apparatus and methods

This disclosure describes several video watermarking and fingerprinting enhancements. These enhancements include synchronizing watermark detectors with one-dimensional calibration signals, layering digital watermarks, watermarks for version control, compressed domain watermarking, watermarking of video object layers, key channel watermark embedding for video, robust fingerprinting of video and watermarking of scalable video.

Eric E. Ellingson

Papers

Digital watermarking apparatus and methods

Digital watermarking and fingerprinting including symchronization, layering, version control, and compressed embedding