Object archival systems and methods

Abstract

Personal object based archival systems and methods are provided for processing and compressing video. By analyzing features unique to a user, such as face, family, and pet attributes associated with the user, an invariant model can be determined to create object model adapters personal to each user. These personalized video object models can be created using geometric and appearance modeling techniques, and they can be stored in an object model library. The object models can be reused for processing other video streams. The object models can be shared in a peer-to-peer network among many users, or the object models can be stored in an object model library on a server. When the compressed (encoded) video is reconstructed, the video object models can be accessed and used to produce quality video with nearly lossless compression.

What is claimed is: 
     
         1 . A system for processing video comprising:
 archived object models generated from initial video data having one or more video frames depicting at least one object that is associated with one or more users; and   a codec customized to reconstruct compressed video data including one or more video frames depicting the at least one object associated with the one or more users, the customized codec being customized such that it is trained to use the archived object models of the one or more users to decode the encoded video data having frames in which the at least one object of the one or more users appears.