An Image Recognition/Retrieval System: Design And Implementation Essay

An Image Recognition/Retrieval System: Design And Implementation Essay

Length: 1685 words (4.8 double-spaced pages)

Rating: Powerful Essays

Open Document

Essay Preview

Introduction This paper discusses the design and implementation of an image recognition /retrieval system indexed with parameterized color histogram. As the usage of multimedia data has increased in recent years, effective and efficient methods for storing and retrieving multimedia have been required and are being developed. In particular, images are used as important inputs in a variety of areas. The area of content-based image retrieval is a hybrid research area that requires knowledge of both computer vision and of database systems. Large image databases are collected, and images from these collections made available to users in advertising, marketing, entertainment, and other areas where images can be used to enhance the product. The generally categorized images as animals, natural scenes, people, and so on for access require browsing by a user to select the appropriate images. Image Recognition/Retrieval System Over the previous years, techniques for content-based image retrieval systems are published. The focus of this paper is to design and implement the efficient way of retrieving the images by sample query images. A set of color features has been efficiently used to measure the similarity of given images. However, at the same time the size of the color features is too large to implement an indexing scheme effectively. In other words, the large size of color features need to have large amount of resources and the computer systems require much of the time to operate. It has been, therefore, proposed to retrieve similar images by using interpolated color histogram to save resources and to increase efficiency. In order to represent the distribution of the color histograms, the best order of interpolated polynomial would be ...

... middle of paper ...

... Reference Linda G. Shapiro Efficient Content-Based Image Retrieval Department of Computer Science and Engineering, University of Washington. This project has supported the Ph.D. research of Andrew Berman, who received his degree in March 1999 and has partially supported the work of Yu-Yu Chou, who received his Ph.D. in December 1999. John R. Smith and Shih-Fu Chang (October 1995) Single Color Extraction and Image Query Proceedings of the I.E.E.E. International Conference on Image Processing (ICIP-95), October 1995. Columbia University, Center for Telecommunications Research, Image and Advanced Television Laboratory, New York, N.Y. 10027 Y. Tao and W. I. Grosky Image Matching Using the OBIR System with Feature Point Histograms Computer Science Department, Wayne State University, Detroit, Michigan 48202, U.S.A.

Need Writing Help?

Get feedback on grammar, clarity, concision and logic instantly.

Check your paper »

Image Retrieval Systems Essay examples

- ... In these systems, there exists a tradeoff between accuracy and computational cost. This tradeoff decreases as more efficient algorithms are utilized and increased computational power thus making it inexpensive. Moreover, the existing systems produce efficient results with small and medium sized image databases, but are generally ill-suited when applied to large sized image databases. This research work designs and proposes techniques to improve the process of image retrieval from large databases in terms of accuracy and speed....   [tags: multimedia, searching, indexing]

Powerful Essays
722 words (2.1 pages)

Curse of Dimensionality Makes CBIR System is Necessary for Storage and Retrieval

- ... Here, a new candidate mark is compared with existing marks for trademark image searching (Wei et al., 2009; Phan and Androutsos, 2010) or a hidden secret image is compared to identify the intellectual owners for copyright mark searching (Zhang and Ye, 2009). CBIR systems belonging to this category include TRADEMARK (Kato, 1992), STAR (Wu et al., 1996) and ARTISAN (Eakins et al., 1998). • Architectural and Engineering Design Architectural and Engineering design share a number of common features like the use of stylized 2D and 3D models to represent design objects (Khokher and Talwar, 2012)....   [tags: analysis, database, crime prevention]

Powerful Essays
2749 words (7.9 pages)

Image Retrieval System Essay

- An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. A robust natural, geographic and medical image retrieval using a supervised classifier which concentrates on extracted features is proposed. Gray level co-occurrence matrix (GLCM),Scale invariant feature technique(SIFT) and moment invariant features are implemented to extract the features from natural images and GLCM and Gabor feature extraction is done on medical images....   [tags: somputer system, browsing, database]

Powerful Essays
1969 words (5.6 pages)

Color is the Most Demonstrative Visual Feature and Studied in the Context of CBIR

- ... Textures are psycho-physically perceived by the human visual system (HVS), particularly, on the aspects of orientation and scale of texture patterns. Texture is also an important visual feature that refers to innate surface properties of an object and their relationship to the surrounding environment. Many objects in an image can be distinguished solely by their textures without any other information. In conventional texture features used for CBIR, there are statistic texture features using gray-level co-occurrence matrix (GLCM), Markov random field (MRF) model, simultaneous auto-regressive (SAR) model, Wold decomposition model, edge histogram descriptor (EHD), etc....   [tags: texture, image, wavelet]

Powerful Essays
1036 words (3 pages)

Comparison between the Effect of Laplacian and High Boost Filters on Spatial Domain Watermarking

- The sharpening filters could boost the image by changing it look more defined. In this paper, a comparison is toke place between the effects two sharpening filters on the reliability of the watermark in spatial domain image watermarking. These sharpening filters are the Laplacian and the high boost. These filters are applied before preforming watermark recovery algorithms. The difference between the watermark information and host image is amplified by these filters. Thus, watermark could recover considerably better by watermark recovery algorithm....   [tags: Image Sharpening; Laplacian Filter]

Powerful Essays
946 words (2.7 pages)

Essay about Automated Storage and Retrieval Systems

- CanGo has hired One Stop Consulting to find and implement an ASRS so that their operations can be more efficient and trouble free. It is a challenging project for the consultants, but their efforts and hard work eventually will bring the best for CanGo. Because of our Excellent Reputation, CanGo trusted our professional opinions, and our mission is to increase the data storage capacity and it`s retrieval by 25% with an allocated budget. Our professional’s hard work will find a company and system that will: Increase the storage capacity by 66%, install the new ASRS which will enhance the flow of data in collaboration with the old system, provide state of art Data Modules, routes and gateways...   [tags: Automated Storage, Retrieval Systems]

Powerful Essays
1652 words (4.7 pages)

Image Retrieval Essay

- I. INTRODUCTION Digital images are composed of pixels. Each pixel represents the colour at a single point of the image. Rectangular array of pixels are called as a bitmap or a digital image. Advance development of image procurement and storage technology have lead to marvellous development in very huge and detailed image databases [1]. A massive volume of image data such as digital photographs, medical images and satellite images are generated every day [2]. Image mining can automatically extract meaningful information from a huge of image data are increasingly in demand....   [tags: Image Mining Essays]

Free Essays
3064 words (8.8 pages)

Content-Based Image Retrieval (CBIR) Essay

- The biggest issue when it comes to creating a system for image retrieval based on image queries is the semantic gap. The semantic gap is defined as “the lack of coincidence between the information that one can extract from the visual data and the interpretation that the same data have for a user in a given situation” (Smeulders). What a system can discern from an image can be completely different to what a human user can discern. It can also be the case that two human users assign different descriptions for the same image, adding to the complexity of the problem....   [tags: vision science, human vision system HVS]

Powerful Essays
1271 words (3.6 pages)

The Selection of a Learning Management System for The University of Public Health

- Introduction Companies create education and training departments to support professional development goals of employees and external clients. Although the purpose for these education initiatives may seem obvious, defining the technologies to use when it comes to curricula can be rather obscure. The University of Public Health (UofPH), an organization established to provide high-quality learning opportunities through the delivery of timely and cost-effective learning products. The university supports the mission and strategic goals of the agency to meet the training and developmental needs of the division....   [tags: Information Technology]

Powerful Essays
2232 words (6.4 pages)

Essay on Image Search Using Hash Code

- This paper introduces an effective method for query adaptive image retrieval using low-level feature extraction and hashing method. The low-level feature primarily constitute color, shape and texture features. For color feature extraction color moments, color Histogram and color correlogram method were implemented and for texture feature extraction used wavelet moment method. Hashing methods is used to embed high-dimensional image features into Hamming space, where search can be performed in real-time based on Hamming distance of compact hash codes....   [tags: effective method, querry adaptive image retrieval]

Powerful Essays
1021 words (2.9 pages)