Abstract: A system and method for recovering an account based at least in part on peer attestation are disclosed. In some implementations, the system includes a trusted contact identifier module, a user interaction module, a trusted contact interaction module and a message generation module. The trusted contact identifier module analyzes a contact database of a user and identifies a selection of trusted contacts that satisfied a pre-defined criteria. The user interaction module presents the selection of trusted contacts and receives from the user an input including at least one selected trusted contact and a personalized message composed by the user. The trusted contact interaction module transmits the personalized message and a hyperlink for verifying the identity of the user to the at least one selected trusted contact and receives a response therefrom. The message generation module sends a message to the user in response to receiving the response.

Abstract: A method implementable on a computing device includes exploiting data redundancy to combine high frequency information from at least two different scales of an input signal to generate a super resolution version of said input signal. An alternative method includes exploiting recurrence of data from an input signal in at least two different scales of at least one reference signal to extract and to combine high frequency information from a plurality of scales of said at least one reference signal to generate a super resolution version of said input signal. An alternative method includes generating a super resolution version of a single input video sequence in at least the temporal dimension by exploiting data recurrence within the input video sequence or with respect to an external database of example video sequences. A signal may be an image, a video sequence, an audio signal, etc.

Abstract: A method implementable on a computing device includes exploiting data redundancy to combine high frequency information from at least two different scales of an input signal to generate a super resolution version of said input signal. An alternative method includes exploiting recurrence of data from an input signal in at least two different scales of at least one reference signal to extract and to combine high frequency information from a plurality of scales of said at least one reference signal to generate a super resolution version of said input signal. An alternative method includes generating a super resolution version of a single input video sequence in at least the temporal dimension by exploiting data recurrence within the input video sequence or with respect to an external database of example video sequences. A signal may be an image, a video sequence, an audio signal, etc.