| 摘要 |
Personal object based archival systems and methods are provided for proce ssing and compressing video. By analyzing features unique to a user, such as face, family, and pet attributes associated with the user, an invariant mod el can be determined to create object model adapters personal to each user. These personalized video object models can be created using geometric and ap pearance modeling techniques, and they can be stored in an object model libr ary. 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 ca n be accessed and used to produce quality video with nearly lossless compres sion. |
