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. A great variety of other features and arrangements are also detailed.

Methods and arrangements for identifying objects

Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Enhanced image capture

Described are systems, media, and methods for discovery of media relevant to a user and sharing the media with the user.

Discovery and sharing of photos between devices

Implementations relate to sharing images and image albums over a communication network. In some implementations, a computer-implemented method includes determining that a shared album data structure is accessible by a device and includes references to album images. The device determines one or more suggested images from a collection of stored images associated with a user, based on determining sharing scores for the stored images. The sharing scores are based on comparing one or more characteristics of the stored images to one or more corresponding characteristics of the album images. The method includes causing display of the one or more suggested images by the device, receiving a selection of at least one selected image of the suggested images based on received user input, and causing an update of the shared album data structure with the at least one selected image to be accessible over a communication network by recipient users.

Sharing images and image albums over a communication network

Computer-readable storage media, computing devices, and methods associated with an adaptive learning environment associated with an adaptive learning environment are disclosed. In embodiments, a computing device may include an instruction module and an adaptation module operatively coupled with the instruction module. The instruction module may selectively provide instructional content of one of a plurality of instructional content types to a user of the computing device via one or more output devices coupled with the computing device. The adaptation module may determine, in real-time, an engagement level associated with the user of the computing device and may cooperate with the instruction module to dynamically adapt the instructional content provided to the user based at least in part on the engagement level determined. Other embodiments may be described and/or claimed.

Adaptive learning environment driven by real-time identification of engagement level

A system comprising an image display; a digital camera positioned to capture images of persons viewing the image display; and a memory system storing instructions configured to cause a data processing system to implement a method for presenting digital images having a high interest level to a particular person selected from a set of candidate digital images. The method includes using the digital camera to capture an image including a particular person positioned to view the image display. The candidate digital images are analyzed to designate one or more image elements, and familiarity levels of the designated image elements to the particular person are determined. For each candidate digital image, an associated interest level to the particular person is determined responsive to the determined familiarity levels. One or more of the candidate digital images are selected based on the determined interest levels and are presented to the particular person.

System for presenting high-interest-level images

A method for determining an interest level of a digital image to a particular person The digital image, or metadata associated with the digital image, is analyzed to designate one or more image elements in the digital image Familiarity levels of the designated image elements to the particular person are determined The interest level of the digital image to the particular person is then determined responsive to the determined familiarity levels In some embodiments the image elements include persons and scene contexts, where digital images containing more familiar persons and less familiar scene contexts correspond to higher interest levels

Determining an interest level for an image

A system for implementing a method for displaying a modified digital image having an improved interest level to a particular person based on an interest level function that determines an interest level of a particular digital image to the particular person responsive to familiarity levels of image elements in the particular digital image. An initial digital image includes one or more image elements having associated initial familiarity levels, the initial digital image having an initial interest level as characterized by the interest level function responsive to the initial familiarity levels. The set of image elements are modified, thereby providing a modified digital image having an increased interest level to the particular person as characterized by the interest level function responsive to modified familiarity levels associated with the modified image elements. The modified digital image is then displayed to the particular person.

System for modifying images to increase interestingness

A method for presenting digital images having a high interest level to a particular person selected from a set of candidate digital images. The candidate digital image are analyzed to designate one or more image elements, and familiarity levels are determined of the designated image elements to the particular person. For each candidate digital image, an associated interest level to the particular person is determined responsive to the determined familiarity levels. One or more of the candidate digital images are selected based on the determined interest levels and are presented to the particular person.

Method for presenting high-interest-level images

A method for increasing the interest level of a digital image to a particular person based on an interest level function that determines an interest level of a particular digital image to the particular person responsive to familiarity levels of image elements in the particular digital image. The initial digital image includes one or more image elements having associated initial familiarity levels, the initial digital image having an initial interest level as characterized by the interest level function responsive to the initial familiarity levels. The set of image elements are modified, thereby providing a modified digital image having an increased interest level to the particular person as characterized by the interest level function responsive to modified familiarity levels associated with the modified image elements. The modified digital image is then displayed to the particular person.

Sharon Lynn Chu Yew Yee

Papers

System for presenting high-interest-level images

Determining an interest level for an image

System for modifying images to increase interestingness

Method for presenting high-interest-level images

Modifying digital images to increase interest level