Systems and methods are provided for allowing a user to obtain a listing of points of interest and associated media content listings based on the user's current geographic location. The user's current geographic location may be determined using, for example, a GPS transceiver incorporated in the user's user access device. Information may then be communicated from a remote server to the user access device that identifies points of interest associated with the geographic location as well as media content listings associated with the points of interest.

A method comprising: dividing a virtual space using virtual partitions that affect perception of the virtual space by a user within the virtual space; in response to a first action in the virtual space relative to a first virtual partition by a user making a first change to how the first virtual partition affects the virtual space perceived by the user.

A method of operating a virtual image generation system comprises allowing an end user to interact with a three-dimensional environment comprising at least one virtual object, presenting a stimulus to the end user in the context of the three-dimensional environment, sensing at least one biometric parameter of the end user in response to the presentation of the stimulus to the end user, generating biometric data for each of the sensed biometric parameter(s), determining if the end user is in at least one specific emotional state based on the biometric data for the each of the sensed biometric parameter(s), and performing an action discernible to the end user to facilitate a current objective at least partially based on if it is determined that the end user is in the specific emotional state(s).

The present disclosure relates to a computer-implemented system and method for finding matching occurrences of an item of interest (or image or sub-image) within a document (or larger image) via cross correlation and setting a dynamic threshold for each document (or larger image). The described system and method are capable of matching and locating the one or more items of interest within each specific document (or larger image).

The present disclosure relates to a computer-implemented system and method for finding matching occurrences of an item of interest (or image or sub-image) within a document (or larger image) via cross correlation and setting a dynamic threshold for each document (or larger image). The described system and method are capable of matching and locating the one or more items of interest within each specific document (or larger image).

Systems, methods, devices, media, and computer-readable instructions are described for local image tagging and processing in a resource-constrained environment such as a mobile device. In some embodiments, characteristics associated with images are used to determine whether to store content (e.g., images and video clips) as ephemeral content or non-ephemeral content. Based on the determination, the image is stored in a non-ephemeral camera roll storage of the mobile device, or an ephemeral local application storage. Additional storage operations such as encryption or backup copying may additionally be determined and performed based on the analysis of the content. In some embodiments, such images may be indexed, sorted, and searched based on the image tagging operations used to characterize the content.

The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

An image-based transaction system includes a mobile device with an image sensor that is programmed to capture, via the image sensor, a video stream of a scene. The mobile device identifies a document using image characteristics from the video stream and acquires an image of at least a part of the document, and then identifies symbols in the image based on locations within the image of the document. The symbols can include alphanumeric symbols. The mobile device processes the symbols according to their type to obtain an address related to the document and the symbols and initiates a transaction associated with the identified document.

In one example embodiment, an information processing apparatus causes a display device to display a first image from images associated with an observation target object. The images include the first image and a second image which corresponds to an annotation mark. In this embodiment, the information processing apparatus also causes the display device to display the annotation mark corresponding to the second image. In this embodiment, the displayed annotation mark overlaps the first image.

In one example embodiment, an information processing apparatus causes a display device to display a first image from images associated with an observation target object. The images include the first image and a second image which corresponds to an annotation mark. In this embodiment, the information processing apparatus also causes the display device to display the annotation mark corresponding to the second image. In this embodiment, the displayed annotation mark overlaps the first image.