Abstract: An illustrative implementation of the technology includes three primary components: a desktop application, a mobile phone application, and connections to retailer inventory and pricing APIs (e.g., for Walmart and/or Best Buy). The experience begins with the consumer going to an online retailer's website (e.g., Amazon) to search for a product. The desktop application automatically searches for the same product using the APIs of Walmart and/or Best Buy. If matches and near-matches of the product are found, the product name, model, price, and local availability at affiliate locations is shown. With a mobile phone camera-scan of the product page, relevant information is transferred to the consumer's phone. From there, the consumer can interact with the options on the mobile phone to be directed to the nearby brick and mortar store of choice carrying that product at the price they want. Along the way, the retailer can present offers and additional product information directly to the consumer.

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modeled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Abstract: Consumer uses of mobile devices and electronic media are changing. Mobile devices include increased computational capabilities, mobile broadband access, better integrated sensors, and higher resolution screens. These enhanced features are driving increased consumption of media such as images, maps, e-books, audio, video, and games. As users become more accustomed to using mobile devices for media, opportunities arise for new digital watermarking usage models. For example, transient media, like images being displayed on screens, can be watermarked to provide a link between mobile devices, extending the reach of digital watermarking. Digital fingerprinting can also be employed. Applications based on these emerging usage models can provide richer user experiences and drive increased media consumption. A great variety of other features and arrangements are also detailed.

Abstract: Supplemental network services are synchronized with a program using the program's audio signal. A synchronization method employs local caching of portions of a fingerprint database to manage network services for identifying which programs a user's mobile device is exposed to and the timing of events within the program. The system enables background recognition and synchronization of network services in a way that consumes less device power and bandwidth.

Abstract: A content fingerprint based recognition system employs local caching of portions of a fingerprint database to manage network services for identifying which programs a user's mobile device is exposed to and the timing of events within the program. The system enables background recognition and synchronization of network services in a way that consumes less device power and bandwidth.

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modeled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Abstract: An illustrative implementation of the technology includes three primary components: a desktop application, a mobile phone application, and connections to retailer inventory and pricing APIs (e.g., for Walmart and/or Best Buy). The experience begins with the consumer going to an online retailer's website (e.g., Amazon) to search for a product. The desktop application automatically searches for product matches using the APIs of affiliated retailers. If matches and near-matches of the product are found, the product name, model, price, and local availability at affiliate locations is shown. With a mobile phone camera-scan of the product page, relevant information is transferred to the consumer's phone. From there, the consumer can interact with the options on the mobile phone to be directed to the nearby brick and mortar store of choice carrying that product at the price they want. Along the way, the retailer can present offers and additional product information directly to the consumer.

Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.

Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Abstract: Consumer uses of mobile devices and electronic media are changing. Mobile devices include increased computational capabilities, mobile broadband access, better integrated sensors, and higher resolution screens. These enhanced features are driving increased consumption of media such as images, maps, e-books, audio, video, and games. As users become more accustomed to using mobile devices for media, opportunities arise for new digital watermarking usage models. For example, transient media, like images being displayed on screens, can be watermarked to provide a link between mobile devices, extending the reach of digital watermarking. Digital fingerprinting can also be employed. Applications based on these emerging usage models can provide richer user experiences and drive increased media consumption. A great variety of other features and arrangements are also detailed.

Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.

Abstract: Many of the detailed technologies are useful in enabling a smart phone to respond to a user's environment, e.g., so it can serve as an intuitive hearing and seeing device. A few of the detailed arrangements involve using radio base station SDR equipment (e.g., at a cell tower) to perform image recognition operations for phones; forecasting service needs from remote processors, and reserving such capacity in advance of use; delegating a remote execution task to a service provider chosen in a competitive process, such as by a reverse auction; using nearby processors, e.g.

Abstract: The disclosure relates to a smartphone-based virtual wallet, that manages payment options available to a user. One claim recites a method employing a user's portable device, the device including a display and a sensor, the method including acts of: initiating a multi-party auction to solicit bids from a plurality of financial vendors to facilitate a financial transaction for the user, the plurality of remotely-located financial vendors being associated with the user via a virtual wallet hosted on the user's portable device; receiving bids from the plurality of financial vendors; presenting a user interface using the display, the user interface identifying at least two bids solicited from the multi-party auction; upon receiving an indication of a user-selected bid from the at least two bids, initiating a financial transaction using at least some of the details in the user selected bid and information obtained from the virtual wallet. A great variety of other features, arrangements and claims are also detailed.

Abstract: Mobile 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 visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers.

Abstract: In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Abstract: Methods for enhancing content objects within web pages use persistent content identification to identify content signals and associate behaviors with the content signals, such as controlling rendering of the content signals along with other information, such as advertising. One method executes within a user device and automatically inserts code within the web page to fetch remote information used in connection with rendering the content signal in a web page. Another method operates on a server and enhances a content object so that it will have certain behaviors when downloaded and presented with a web page.

Abstract: The presently claimed invention relates generally to confirming that a user has physical custody of an article (e.g., credit card, identification document, etc.). One claim recites a method reciting: at a user's home, presenting a physical article to an input device; and, after the presenting, receiving device data at a CPU at said user's home; deriving a reduced-bit representation of the device data; by reference to at least some of said reduced-bit representation of the device data, confirming that the user has physical custody of the physical article, the physical article having an identifier associated therewith; and providing said identifier to a remote terminal once physical custody of the physical article is confirmed. Of course, additional combinations and claims are provided as well.

Abstract: A variety of systems and embodiments are disclosed. One embodiment provides a method including: maintaining a database including a plurality of records stored therein; obtaining first information derived from image or video data, the first information being derived remotely relative to performance of said method, the first information comprising a reduced-bit representation of the image or video data itself; determining whether the first information has been previously received with reference to at least the plurality of records stored in the database; and disregarding a request or action associated with the first information if the first information has been previously received. Of course, other combinations are provided and claimed as well.

Abstract: A system manages display and retrieval of image content on a network by identifying the image and linking the image to related information, such as licensing information or usage rights. The system manages the display of image content stored within a network by associating thumbnail images that link to versions of the image content stored on a network. One example is a thumbnail that acts as a bookmark linking to image signal content stored on a distributed network of computers, such as links to web pages accessible on the internet. Corresponding methods are also provided.