Google Inc.

Ranveer Kunal

Kiran Singh Panesar

Madhukar N Thakur

Amogh S Asgekar

Vivek Seshadri

Kiran S Panesar

In one implementation, a computer-implemented method includes receiving information related to users of a social network site and determining a graph for at least a portion of the social network, the graph including a plurality of nodes connected by directional links where each node corresponds to a user having a profile page on the social network and where each directional link corresponds to a user viewing at least an aspect of a profile page for another user. The method can further include identifying first nodes as including content associated with a particular subject of interest, and seeding the identified first nodes with first scores. The method can also include determining second scores for second nodes by propagating the first scores across the social graph based upon third nodes having viewed aspects of profile pages associated with the first nodes and the second nodes; and providing the determined second scores.

Detecting content on a social network using browsing patterns

Methods and systems for watermarking of digital images are presented. In one aspect, a method of embedding information in a digital image includes transforming the digital image to a set of coefficient blocks having coefficients in a frequency domain, embedding a watermark-indicator in one or more of the coefficient blocks, and embedding a watermark in one or more watermark blocks that have a predetermined number of coefficient blocks. The embedded watermark is substantially invisible in the output watermarked digital image. Another aspect is a method of extracting a watermark from a digital image that includes transforming a digital image to a coefficient matrix, determining if the digital image is watermarked based on a predetermined watermark-indicator, and retrieving a watermark from a projected watermark block of a projected watermark block distribution.

Watermarking of digital images using watermark-indicators

In one implementation, a computer-implemented method includes receiving at information related to users of a social network site, and determining a social network graph for at least a portion of the social network, the graph including a plurality of nodes connected by links, each node corresponding to a user that has a profile page on the social network. The method can also include identifying first nodes from the plurality of nodes as including content associated with a particular subject of interest, and seeding the identified first nodes with first scores. The method can additionally include determining second scores for second nodes based on propagation of the first scores from the first nodes to the second nodes using the links of the social network graph; and providing the determined second scores for the second nodes.

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Dist-Tirunelveli, India

Ranveer Kunal