Intuit, Inc.

Google Inc.

Lytro, Inc.

Kristen Berman

David John Evans, V

Yi-Ren Ng

Chia-Kai Liang

Kurt Akeley

Kayvon Fatahalian

Kira Wampler

Eric Cheng

Ravi Subramaniam Iyer

Daniel J Richardson

Anuradha Sameer Rahurkar

Agila Seetharaman

According to various embodiments of the invention, a system and method are provided for enabling interaction with, manipulation of, and control of depth-assigned content in depth-enhanced pictures, such as virtual reality images. Depth-assigned content can be assigned to a specified depth value. When a depth-enhanced picture is refocused at a focus depth substantially different from the specified assigned depth value, the depth-assigned content may be omitted, grayed out, blurred, or otherwise visually distinguished. In this manner, content associated with an in-focus image element can be visually distinguished from content associated with an out-of-focus image element. For example, in at least one embodiment, depth-assigned content is visible only when an image element associated with the content is in focus (or nearly in focus). According to various embodiments of the invention, many different types of interactions are facilitated among depth-assigned content, depth-enhanced virtual reality images, and other content.

Depth-assigned content for depth-enhanced virtual reality images

According to various embodiments of the invention, a system and method are provided for enabling interaction with, manipulation of, and control of depth-assigned content in depth-enhanced pictures. Depth-assigned content can be assigned to a specified depth value. When a depth-enhanced picture is refocused at a focus depth substantially different from the specified assigned depth value, the depth-assigned content may be omitted, grayed out, blurred, or otherwise visually distinguished. In this manner, content associated with an in-focus image element can be visually distinguished from content associated with an out-of-focus image element. For example, in at least one embodiment, depth-assigned content is visible only when an image element associated with the content is in focus (or nearly in focus). According to various embodiments of the invention, many different types of interactions are facilitated among depth-assigned content, depth-enhanced pictures, and other content.

Depth-assigned content for depth-enhanced pictures

A method for generating a spending reduction plan, includes obtaining a savings target that has a target amount and a target schedule, analyzing, using a processor of a computer system, a spending history for a plurality of spending categories to generate a historical spending pattern comprising a plurality of spending variances corresponding to the plurality of spending categories, identifying a first spending category of the plurality of spending categories by comparing the plurality of spending variances based on a pre-determined criterion, analyzing, using a processor of a computer system, a first historical savings pattern for the first spending category to determine a first reduction percentage, and generating the spending reduction plan based on the savings target, the first spending category, a first spending variance corresponding to the first spending category, and the first reduction percentage.

Target driven spending reduction plan

A method for making a recommendation, comprising obtaining a plurality of recommendations for a plurality of items from a plurality of members of a social networking utility, ranking the plurality of recommendations based on a relationship proximity of the plurality of members to an inquiring member within the social networking utility, wherein the relationship proximity is closest for friends of the inquiring member, and farthest for strangers to the inquiring member, wherein friends of the inquiring member are within a network of the inquiring member, and strangers of the inquiring member are outside of the network of the inquiring network, performing a search for one of the plurality of items, and displaying the plurality of recommendations associated with one of the plurality of items in an order defined by the ranking.

Recommendation engine for social networks

Growing community of inventors

San Francisco, CA, United States of America

Kristen Berman