Multimedia and INTERNET is increasingly developing in recent years. It is crucial to develop indexing techniques for searching images and video based on their content. Dne to the lower computational complexity. compressed domain indexing lech-piques are becoming popular. In this paper

an efficient compressed image indexing scheme based on JPEG2000 framework is proposed. The target application is the access and interaction with huge amount of visual data on intemet. Here

the information on the number of zero bit-planes in code-blocks

number of coding passes in code-blocks and length of the data from code-blocks is directly extracted from the packet header of a JPEG2000 compressed image without decompressing the bitstream. A featuer vector is built based on the three-part information and is used as the image index. Preliminary experimental results show that the proposed scheme is efficient and effective.