Abstract: The disclosure relates to cloud-based mobile discovery networks. For example, a mobile discovery network may include a network responsive to successful watermark detection or fingerprint extraction. One claim recites a cloud-based computing resolver cell in a mobile discovery network, the mobile discovery network having a cloud-based traffic router for forwarding requests from remote devices. The resolver cell includes: memory for storing response information; one or more processors programmed for: combine results from a third party inquiry, a traffic router health check, and an internal component or processing check within a certain time period determine whether to enter into a stabilization mode; entering the stabilization mode when a determination indicates stabilization is warranted; verifying, for a predetermined period, the status of the resolver cell before exiting the stabilization mode. Of course other claims and combinations are provided as well.

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: 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: An object (e.g., a driver's license) is tested for authenticity using imagery captured by a consumer device (e.g., a mobile phone camera). Corresponding data is sent from the consumer device to a remote system, which has secret knowledge about features indicating object authenticity. The phone, or the remote system, discerns the pose of the object relative to the camera from the captured imagery. The remote system tests the received data for the authentication features, and issues an output signal indicating whether the object is authentic. This testing involves modeling the image data that would be captured by the consumer device from an authentic object—based on the object's discerned pose (and optionally based on information about the camera optics), and then comparing this modeled data with the data sent from the consumer device. A great variety of other features and arrangements are also detailed.

Abstract: Signal processing devices and methods estimate a geometric transform of an image signal. From a seed set of transform candidates, a method applies a seed transform candidate to a reference signal. For each candidate, update coordinates of reference signal features are identified in the image signal and provided as input to a least squares method to compute an update to the transform candidate. At the end of the process, the method identifies a geometric transform or set of top transforms based on a further analysis of correlation, as well as other results. Phase characteristics are exploited in the process of updating coordinates. The geometric transform is used to facilitate extracting embedded digital messages from the image.

Abstract: An audio playback system receives digitally watermarked audio programming and distributes it to audio speakers in a venue, enabling a variety of location and product dependent services to be delivered to mobile devices in the venue. Mobile devices sense audio from speakers and decode digital identifying information, including characteristics to distinguish audio sources. The mobile device communicates with a networked computer to provide the identifying information, which in turn, triggers an alert for output on the mobile device.

Abstract: Signal processing devices and methods estimate transforms between signals using a least squares technique. From a seed set of transform candidates, a direct least squares method applies a seed transform candidate to a reference signal and then measures correlation between the transformed reference signal and a suspect signal. For each candidate, update coordinates of reference signal features are identified in the suspect signal and provided as input to a least squares method to compute an update to the transform candidate. The method iterates so long as the update of the transform provides a better correlation. At the end of the process, the method identifies a transform or set of top transforms based on a further analysis of correlation, as well as other results.

Abstract: 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.

Abstract: The present disclosure relates to digital watermarking. One claim recites a method to detect two or more different digital watermarks in media. The method includes: receiving captured imagery of the media, the captured imagery comprising a plurality of image frames; for a first image frame applying a first watermark detector to search for a first digital watermark hidden within the first image frame, in which an electronic processor is programmed as the first watermark detector; and for a second image frame applying a second, different watermark detector to search for a second, different watermark hidden within the second image frame, in which an electronic processor is programmed as the second watermark detector. Other claims and combinations are provided too.

Abstract: Audio and or video data is structurally and persistently associated with auxiliary sensor data (e.g., relating to acceleration, orientation or tilt) through use of a unitary data object, such as a modified MPEG file or data stream. In this form, different rendering devices can employ co-conveyed sensor data to alter the audio or video content. Such use of the sensor data may be personalized to different users, e.g., through preference data. For example, accelerometer data can be associated with video data, allowing some users to view a shake-stabilized version of a video, and other users to view the video with such motion artifacts undisturbed. In like fashion, camera parameters, such as focal plane distance, can be co-conveyed with audio/video content—allowing the volume to be diminished (or not, again depending on user preference) when a camera captures audio/video from a distant subject. Some arrangements employ multiple image sensors and/or multiple audio sensors—each also collecting auxiliary data.

Abstract: The disclosure relates to image signal processing, encoded signals and fingerprinting. Lighting information, associated with image capture, is used to adapt a signal encoder to fingerprint generator. The encoder or generator can be adapted by applying different weightings to different color channels, the different weightings being associated with the lighting information.

Abstract: Digital watermarking is adapted for the variable data printing. A reference signal serves as a proxy for optimizing the embedding a watermark in a host image to be printed. Using the reference signal, embedding parameters are generated, which are a function of constraints such as visual quality and robustness of the machine readable data. Adjustments needed to embed a unique payload in each printed piece are generated using the embedding parameters. These adjustments are stored in a manner that enables them to be efficiently obtained and applied within the RIP or press during operation of the press. Various other methods, system configurations and applications are also detailed.

Abstract: The present invention relate generally to signal encoding and decoding.

Abstract: Object recognition by point-of-sale camera systems is aided by first removing perspective distortion. Yet pose of the object—relative to the system—depends on actions of the operator, and is usually unknown. Multiple trial counter-distortions to remove perspective distortion can be attempted, but the number of such trials is limited by the frame rate of the camera system—which limits the available processing interval. One embodiment of the present technology examines historical image data to determine counter-distortions that statistically yield best object recognition results. Similarly, the system can analyze historical data to learn what sub-parts of captured imagery most likely enable object recognition. A set-cover strategy is desirably used. In some arrangements, the system identifies different counter-distortions, and image sub-parts, that work best with different clerk- and customer-operators of the system, and processes captured imagery accordingly.

Abstract: In one particular aspect, a portable computing device (e.g., a tablet or smartphone) senses audio and/or image content from a user's environment, and initiates one or more recognition agents (e.g., performing image watermark recognition, image recognition, object recognition, facial recognition, barcode recognition, optical character recognition, audio watermark recognition, speech recognition, speaker recognition, or music recognition). Resource allocation to a recognition agent can be varied based on (a) progress of the recognition agent to achieve its recognition goal, and (b) user interest data indicating user interest in the output of the recognition agent. A second candidate recognition agent can be evaluated for possible launch, based on a relevance score, and a cost score. In some embodiments, the device adapts its operation to changing context, by terminating a first recognition agent in favor of a second recognition agent, without express user instruction to do so.

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: The present disclosure relates generally to signal processing techniques for content signals such as audio, images and video signals. More particularly, the present disclosure relates to processing content signals to facilitate recognition of ambient content signals using digital watermarks and/or digital fingerprints.

Abstract: First and second patterns are formed on a substrate. A spatial offset between the patterns is determined, and stored for later use in authenticating the substrate. (One or both of the patterns may convey steganographic information. One pattern may be printed, while the other may be embossed.) A smartphone can sense these patterns, determine the spatial offset, and check whether the determined offset matches the earlier-stored offset, to judge whether the substrate is authentic. Another arrangement effects serialization of product packaging by use of paired patterns (at least one of which is typically a watermark pattern) applied in a manner causing a spatial offset between the patterns to progressively vary along a length of a printed web. Still other arrangements involve substrates conveying patterns that degrade over time, e.g., indicating freshness or pressurization condition. A great variety of other features and arrangements are also detailed.

Abstract: The present invention relates generally to digital watermarking. One aspect of the disclosure includes a method comprising: obtaining data representing imagery; using one or more configured processors, analyzing a plurality of portions of the data to detect a watermark orientation component, said analyzing employing a match filter, in which the match filter yields a correlation value for each of the plurality of portions; determining a first portion from the plurality of portions that comprises a correlation value meeting a predetermined value; and directing a watermark decoder at the first portion to decode a plural-bit watermark payload, in which the watermark decoder produces a watermark signature for the first portion, and in which the watermark decoder searches a plurality of areas at or around the first portion to decode the plural-bit watermark payload. Of course, many other aspects and disclosure are provided in this patent document.

Abstract: The present disclosures relates to finding or localizing machine readable indicia (e.g., a barcode or digital watermark) in imagery. One claim recites an apparatus comprising: memory for buffering blocks of image data, the image data having been captured with a camera and depicting a printed object; one or more processors programmed for: generating an edge orientation sensitive feature set from the image data; using a first trained classifier to determine whether the feature set includes data representing a barcode; and using N additional trained classifiers to determine an orientation angle associated with the barcode, wherein N comprises an integer greater than 3, and wherein the orientation angle is selected based on a probability metric. Of course, other claims and combinations are provided too.