Trademark Retrieval by Relaxation Matching on Fluency Function Approximated Image Contours
نویسندگان
چکیده
In this paper, we propose an automatic retrieval method that addresses the problem of finding similar trademark images from a database when compared with an input. Our method is based on evaluating the compatibility of relative relations among extracted image contour segments between the input and the registered images using relaxation matching. The overall compatibility, after finding a best matching configuration between contour segments of the input and each registered image, provides the basis for a distance metric used in similarity ranking. Experiments were carried out on 300 randomly selected trademark images obtained from the Japan Patent Office’s website for performance evaluation. The applicability of our method, however, is not limited to trademark retrieval but can be extended to other applications having the need for image similarity matching.
منابع مشابه
Cmu Trademark Retrieval System
In traditional trademark retrieval systems, the trademarks are first annotated with keywords that are then used for retrieval. The Vienna Classification [1] is a well-known scheme to achieve this purpose and it constitutes a hierarchical system that proceeds from the general to the particular, dividing all figurative elements into categories, divisions and sections. The STAR system developed by...
متن کاملOn a relaxation-labeling algorithm for real-time contour-based image similarity retrieval
In this paper, we propose a relaxation-labeling algorithm for real-time contour-based image similarity retrieval that treats the matching between two images as a consistent labeling problem. To satisfy real-time response, our algorithm works by reducing the size of the labeling problem, thus decreasing the processing required. This is accomplished by adding compatibility constraints on contour ...
متن کاملAn effective solution for trademark image retrieval by combining shape description and feature matching
Trademark image retrieval (TIR), a branch of content-based image retrieval (CBIR), is playing an important role in multimedia information retrieval. This paper proposes an effective solution for TIR by combining shape description and feature matching. We first present an effective shape description method which includes two shape descriptors. Second, we propose an effective feature matching str...
متن کاملA Novel Approach for Trademark Image Retrieval by Combining Global Features and Local Features
Traditional trademark image retrieval algorithm only using global feature easily makes mistaken retrieval, and scale invariant feature transform (SIFT) features have limited descriptive ability for image contour and high algorithm complexity. This paper proposes a trademark retrieval algorithm combining the image global features and local features. In this paper, we will firstly, extract Zernik...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001