An Experiment of Realization of Fully Automated Keyword Extraction in Image Database System

نویسندگان

  • Jun Yamane
  • Masao Sakauchi
چکیده

Recently, a flexible image database retrieval system where iniage keywords call be captured automatically is strongly ~equired, to manage a practical Iium1)er of image data sl~ccessfully. But image recognit io~i /~~nderstar i t l i~ig technology level is not generally inefficient enough to achieve this requirement. I11 order to overcome this problem, we propose a new i~iiag(, data1)ase framework here. In the proposed syst rm, image keywords ale extracted in fully-automated fashion by the deviced image recognition system. Image keywords used here is a collection of recognized objects in the image, where recognition levels are allowed to be intermediate or imperfect. We introduce the concept of "recognition thesaurus" for managing these various level keywords successfully. As an eml~otliment of this concept we implemented an image datal~ase with various types of sports scenes. Retrieval evaluations reveals the effectiveness of the proposed method.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automated Tumor Segmentation Based on Hidden Markov Classifier using Singular Value Decomposition Feature Extraction in Brain MR images

ntroduction: Diagnosing brain tumor is not always easy for doctors, and existence of an assistant that                                                      facilitates the interpretation process is an asset in the clinic. Computer vision techniques are devised to aid the clinic in detecting tumors based on a database of tumor c...

متن کامل

Identification of selected monogeneans using image processing, artificial neural network and K-nearest neighbor

Abstract Over the last two decades, improvements in developing computational tools made significant contributions to the classification of biological specimens` images to their correspondence species. These days, identification of biological species is much easier for taxonomist and even non-taxonomists due to the development of automated computer techniques and systems.  In this study, we d...

متن کامل

Computer Vision and Multimedia Information Systems

An image database system with content capturing and fast image indexing abilities " , Proc. Srinivasan, " On-line images from the history of medicine (OLI): Creating a large searchable image database for distribution via WorldWide Web " , First [48] A. Rosenfeld, " Recognizing unexpected objects: a proposed approach " , Int. A construction of a new image database system which realizes fully aut...

متن کامل

Automatic Face Recognition via Local Directional Patterns

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

متن کامل

Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1992