外文原文-Color and Texture Descriptors.pdfVIP

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 6, JUNE 2001 703 Color and Texture Descriptors B. S. Manjunath, Member, IEEE, Jens-Rainer Ohm, Member, IEEE, Vinod V. Vasudevan, Member, IEEE, and Akio Yamada Abstract—This paper presents an overview of color and texture descriptors that have been approved for the Final Committee Draft of the MPEG-7 standard. The color and texture descriptors that are described in this paper have undergone extensive evaluation and development during the past two years. Evaluation criteria include effectiveness of the descriptors in similarity retrieval, as well as extraction, storage, and representation complexities. The color descriptors in the standard include a histogram descriptor that is coded using the Haar transform, a color structure histogram, a dominant color descriptor, and a color layout descriptor. The three texture descriptors include one that characterizes homogeneous texture regions and another that represents the local edge distribution. A compact descriptor that facilitates texture browsing is also defined. Each of the descriptors is explained in detail by their semantics, extraction and usage. Effectiveness is documented by experimental results. I. INTRODUCTION C OLOR and texture are among the more expressive of the visual features. Considerable work has been done in designing efficient descriptors for these features for applications such as similarity retrieval. For example, a color histogram is one of the most frequently used color descriptors that characterizes the color distribution in an image. This paper provides the reader with an overview of the technologies that are being considered by the MPEG-7 group for describing visual content based on its color and texture. More detailed information regarding the color and texture descriptors in MPEG-7 may be found in the references and other related MPEG documents. The color and texture descriptors that are described in this paper have und