Invention Grant
- Patent Title: Image compression using exemplar dictionary based on hierarchical clustering
- Patent Title (中): 使用基于层次聚类的示范字典的图像压缩
-
Application No.: US13946965Application Date: 2013-07-19
-
Publication No.: US08787692B1Publication Date: 2014-07-22
- Inventor: Mei Han , Michele Covell , Saurabh Mathur , Shumeet Baluja , Vivek Kwatra
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/36
- IPC: G06K9/36

Abstract:
An exemplar dictionary is built from example image blocks for determining predictor blocks for encoding and decoding images. The exemplar dictionary comprises a hierarchical organization of example image blocks. The hierarchical organization of image blocks is obtained by clustering a set of example image blocks, for example, based on k-means clustering. Performance of clustering is improved by transforming feature vectors representing the image blocks to fewer dimensions. Principal component analysis is used for determining feature vectors with fewer dimensions. The clustering performed at higher levels of the hierarchy uses fewer dimensions of feature vectors compared to lower levels of hierarchy. Performance of clustering is improved by processing only a sample of the image blocks of a cluster. The clustering performed at higher levels of the hierarchy uses lower sampling rates as compared to lower levels of hierarchy.
Information query