Abstract:
Methods and arrangements involving portable devices, such as smartphones and tablet computers, are disclosed. One arrangement enables a creator of content to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another arrangement utilizes the camera of a smartphone 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 of the detailed 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.
Abstract:
A smart phone senses audio and/or imagery from a user's environment, and acts to fulfill inferred or requested user desires. In one arrangement, a smart phone comprises: a touch screen display; a camera for capturing imagery; a microphone for capturing audio; a physical discovery button for receiving a user's indication to initiate a discovery mode; one or more processors; and memory storing software instructions for configuring said one or more processors. The software configures the processors for: responsive to a user's request via the physical discovery button, initiating a discovery mode including processing imagery captured with said camera; causing two different areas to be displayed on the touch screen display, in which a first of the two areas comprises a sensor pane in which visual information associated with captured imagery is displayed along with augmented reality graphics, and in which a second of the two areas comprises user-selectable graphic icons; and causing a user-selectable graphic icon to be displayed in the first of the two areas to allow a user to switch modes from image to audio. A great number of other features and arrangements are also detailed.
Abstract:
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.
Abstract:
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.
Abstract:
The evolution of a skin condition over time can be useful in its assessment. In an illustrative arrangement, a user captures skin images at different times, using a smartphone. The images are co-registered, color-corrected, and presented to the user (or a clinician) for review, e.g., in a temporal sequence, or as one image presented as a ghosted overlay atop another. Image registration can employ nevi, hair follicles, wrinkles, pores, and pigmented regions as keypoints. With some imaging spectra, keypoints from below the outermost layer of skin can be used. Hair may be removed for image registration, and restored for image review. Transformations in addition to rotation and affine transforms can be employed. Diagnostic correlations with reference image sequences can be made, employing machine learning in some instances. A great variety of other features and arrangements are also detailed.
Abstract:
In one arrangement, a first device presents a display that is based on context data, derived from one or more of its sensors. This display is imaged by a camera in a second device. The second device uses context data from its own sensors to assess the information in the captured imagery, and makes a determination about the first device. In another arrangement, social network friend requests are automatically issued, or accepted, based on contextual similarity. In yet another arrangement, delivery of a message is triggered by a contextual circumstance other than (or in addition to) location. In still another arrangement, two or more devices automatically establish an ad hoc network (e.g., Bluetooth pairing) based on contextual parallels. In still another arrangement, historical context information is archived and used in transactions with other devices, e.g., in challenge-response authentication. A great number of other features and arrangements—many involving head-mounted displays—are also detailed.
Abstract:
Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some relate to visual search capabilities, and responding to different image inputs and different contexts. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. Yet others concern adapting behavior of a camera-equipped system based on previously-captured imagery. A great number of other features and arrangements are also detailed.
Abstract:
To make a payment, a smartphone presents artwork for a payment card (e.g., a Visa card) that has been selected by a user from a virtual wallet of such cards. Encoded in the displayed artwork is payment information that has been encrypted with a context-dependent session key. A cooperating system (e.g., a retailer's point of sale system) uses a camera to capture an image of the artwork, and independently creates the session key from its own context sensor(s), enabling decryption of the payment information. Such technology provides a superior transaction security model at a fraction of the cost of competing chip card payment systems (which require, e.g., expensive physical cards, and single-purpose reader hardware). A great variety of other features and arrangements are also detailed.
Abstract:
Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to data driven imaging architectures, in which a cell phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Other aspects relate to distribution of processing tasks between the device and remote resources (“the cloud”). Elemental image processing, such as filtering and edge detection—and even some simpler template matching operations—may be performed on the cell phone. Other operations are referred out to remote service providers. The remote service providers can be identified using techniques such as a reverse auction, though which they compete for processing tasks. Other aspects of the disclosed technologies relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. A great number of other features and arrangements are also detailed.
Abstract:
A first device (such as a cell phone) is equipped with a micro-projector, and used to present imagery on a display surface. A second device (such as a second cell phone) is equipped with a digital camera, and used to capture some of the projected imagery. The captured imagery allows a user of the second device to access digital content of interest from a user of the first device, or from elsewhere. The content may be visual, or of other form (content examples include audio, games, maps, text documents, video, spreadsheets, etc.). In one particular arrangement, the projected imagery is encoded with digital watermark data. Through such arrangements, one user can readily share content, and also engage in collaborative activities—such as cooperative game play, with one or more other users. A great variety of other features and arrangements are also detailed.