Indexing and Retrieval of Color Image Database

• Main Authors: Shiue, Hui-Lirng, 薛慧玲
• Other Authors: Soo-Chang Pei
• Format: Others
• Language: en_US
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/10009771228199452390

碩士 === 國立臺灣大學 === 電機工程學系 === 86 === Abstract With the exponential growth of multi-media data comes the challenge of managing this information in a controlled, organized and efficient manner. Color, texture and shape are the main features for human beings to recognize the object. Many researchers use these features to index and search the images. We will review the related work on the topic of color image query in chapter 2. Several systems have been developed to help people to index the database and search the images .We discuss three reported systems in chapter 3. Although there were much work on benchmarking text database, the property of multimedia is different from the text database. A.Desainarasimhalu et al. analyze the problem of benchmarking multimedia databases and suggest a methodology. We describe it in Chapter4. After the study of algorithms, we designed a new system to implement what we have studied. The procedure could be divided into 2 stages -feature extraction and query. In feature extraction, system automatically extracts the content of each image in the database as the index for query. In the query stage, system matches the features of user's sketch with the features of database image, and provides a ranked list whose rank is according to the similarity. We discuss the procedure in chapter 5.