检索结果-内蒙古大学图书馆

A novel image retrieval algorithm based on transfer learning and fusion features

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 2019年第3期22卷 1313-1324页

作者： Liu, Ying Peng, Yanan Lim, Kengpang Ling, Nam Xian Univ Posts & Telecommun Ctr Image & Informat Proc Xian 710121 Shaanxi Peoples R China Santa Clara Univ Dept Comp Engn Santa Clara CA 95053 USA

With proliferation of social media, image has become ubiquitous giving rise to the demand and importance of image semantic analysis and retrieval to access information quickly on social media. However, even with humongous information available, there are certain categories of images which are important for certain applications but are very scarce. Convolutional neural network is an effective method to extract high-level semantic features for image database retrieval. To overcome the problem of over-fitting when the number of training samples in dataset is limited, this paper proposes an image database retrieval algorithm based on the framework of transfer learning and feature fusion. Based on the fine-tuning of the pre-trained Convolutional Neural Network (CNN), the proposed algorithm first extracts the semantic features of the images. Principal Component Analysis (PCA) is then applied for dimension reduction and to reduce the computational complexity. Last, the semantic feature extracted from the CNN is fused with traditional low-level visual feature to improve the retrieval accuracy further. Experimental results demonstrated the effectiveness of the proposed method for image database retrieval.

关键词： convolutional neural network transfer learning feature fusion image database retrieval

来源：评论

学校读者我要写书评

暂无评论

In-Memory Distributed Indexing for Large-Scale Media Data retrieval 19

In-Memory Distributed Indexing for Large-Scale Media Data Re...

引用

19th IEEE International Symposium on Multimedia (ISM)

作者： Ma, Yinmiao Liu, Danlu Scott, Grant Uhlmann, Jeffrey Shyu, Chi-Ren Univ Missouri Elect Engn & Comp Sci Dept Columbia MO 65211 USA Univ Missouri Inst Informat Columbia MO 65211 USA Asia Univ Bioinformat & Biomed Engn Taichung Taiwan

ISBN: (纸本)9781538629376

Data retrieval serves a critical role in the development of multimedia applications. However, due to the exponential growth of multimedia data, high-speed and efficient indexing is becoming more and more difficult than ever. In this paper, we propose a novel approach to speed up the retrieval process by adopting a distributed computing paradigm through the Apache Spark framework Utilizing search trees in a Big Data ecosystem leads to fast and cost-effective media database retrievals by caching indexing structures into memory and aggregating ranked results with flexibilities for users to specify the importance of search cues. We conducted computational experiments on large-scaled vector files for remote sensing image database and synthesized pollen image database to demonstrate the effectiveness and scalability of our system with reasonably high accuracy.

关键词： In-Memory Computing Big Data Distributed Indexing image database retrieval

来源：评论

学校读者我要写书评

暂无评论

A NEW SHAPE DESCRIPTOR 2D FOR CONTENT BASED image retrieval 2

A NEW SHAPE DESCRIPTOR 2D FOR CONTENT BASED IMAGE RETRIEVAL

引用

2014 Second World Conference on Complex Systems (WCCS)

作者： Silkan, Hassan Tmiri, Amal Ouatik, Said El Alaoui Lachkar, Abdelmounaime EMMID El Jadida Morocco Dept Informat Lab LMATIC El Jadida Morocco Lab Informat & Modelisat Fes Morocco ENSA Lab Sci Informat & Syst Fes Morocco

ISBN: (纸本)9781479946471

Content-Based image retrieval (CBIR) systems have been developed to support the image retrieval based on image properties, such as color, shape and texture. In this paper, we are concerned with shape-based image retrieval. In this context, we propose a new descriptor invariant to common geometrical transformations and robust to noise to describe shapes, it is an extension of the descriptor of Berretti and al., it is based on the curvature zero-crossing points from a Gaussian smoothed boundary to obtain primitives, called tokens. We propose to describe each token by its inverse of the curvature corresponding to the radius of osculating circle, its orientation and its normalized surface. Several experiments were conducted on the widely used MPEG-7 database. The performance was measured in terms of recall and precision. The obtained results show the promising performance of our method and its superiority over descriptor proposed by Berreti and al.

关键词： multi scale analysis Shape similarity image database retrieval token

来源：评论

学校读者我要写书评

暂无评论

Distance sets for shape filters and shape recognition

引用

IEEE TRANSACTIONS ON image PROCESSING 2003年第10期12卷 1274-1286页

作者： Grigorescu, C Petkov, N Univ Groningen Inst Math & Comp Sci NL-9700 AV Groningen Netherlands

We introduce a novel rich local descriptor of an image point, we call the (labeled) distance set, which is determined by the spatial arrangement of image features around that point. We describe a two-dimensional (2-D) visual object by the set of (labeled) distance sets associated with the feature points of that object. Based on a dissimilarity measure between (labeled) distance sets and a dissimilarity measure between sets of (labeled) distance sets, we address two problems that are often encountered in object recognition: object segmentation, for which we formulate a distance sets shape filter, and shape matching. The use of the shape filter is illustrated on printed and handwritten character recognition and detection of traffic signs in complex scenes. The shape comparison procedure is illustrated on handwritten character classification, COIL-20 database object recognition and MPEG-7 silhouette database retrieval.

关键词： character recognition distance set image database retrieval MPEG-7 object recognition segmentation shape descriptor shape filter traffic sign recognition

来源：评论

学校读者我要写书评

暂无评论

An integrated approach to shape and color-based image retrieval of rotated objects using Hidden Markov Models

引用

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2001年第1期15卷 223-237页

作者： Müller, S Eickeler, S Rigoll, G Univ Duisburg Gesamthsch Fac Elect Engn Dept Comp Sci D-4100 Duisburg Germany

An integrated approach to shape and color-based image retrieval, where the cues color and shape are both utilized in a local rather than a global way, is presented in this paper. An experimental retrieval system has been developed, which enables the user to search a color image database intuitively by presenting simple sketches. In order to be able to perform an elastic matching, which is especially needed in sketch-based image retrieval, objects in the images are represented by Hidden Markov Models. The use of streams (sets of features that are assumed to be statistically independent) within the HMM framework allows the integration of shape and color derived features into a single model, thereby allowing to control the influence of the different streams via stream weights. The approach has been evaluated on a color image database containing 120 different isolated objects with arbitrary orientation and showed good retrieval results with several users. Furthermore, the use of HMMs allows efficient pruning and thus a fast retrieval even with large databases.

关键词： image database retrieval Hidden Markov Models query by sketch integration of shape and color features

来源：评论

学校读者我要写书评

暂无评论

Enhancing CSS-based shape retrieval for objects with shallow concavities

引用

image AND VISION COMPUTING 2000年第3期18卷 199-211页

作者： Abbasi, S Mokhtarian, F Kittler, J Univ Surrey Dept Elect & Elect Engn Ctr Vis Speech & Signal Proc Guildford GU2 5XH Surrey England

Curvature scale space (CSS) image is a multi-scale organisation of the inflection points of a closed planar curve as it is smoothed. It consists of several arch shape contours, each related to a concavity or a convexity of the curve. The maxima of these contours have already been used as shape descriptors to find similar shapes in large image databases. In this article, we address the problem of shallow concavities. These may give rise to large contours in the CSS image. These contours may then match those corresponding to deep and wide concavities during the matching process. The phenomenon can be explained by recalling the fact that Gaussian smoothing leads to an approximation of geometric heat equation deformation. We have introduced a method to enrich the CSS image and create different contours for different types of concavities. We tested the proposed method on a database of 1100 images of marine creatures. A significant improvement was observed in the performance of the system on shapes with shallow segments. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： multi-scale analysis shape similarity curvature scale space image database retrieval performance characterisation

来源：评论

学校读者我要写书评

暂无评论

Matching and retrieval based on the vocabulary and grammar of color patterns

引用

IEEE TRANSACTIONS ON image PROCESSING 2000年第1期9卷 38-54页

作者： Mojsilovic, A Kovacevic, J Hu, JY Safranek, RJ Ganapathy, SK Bell Labs Lucent Technol Murray Hill NJ 07974 USA

We propose a perceptually based system for pattern retrieval and matching. There is a need for such an "intelligent" retrieval system in applications such as digital museums and libraries, design, architecture, and digital stock photography. The central idea of the work is that similarity judgment has to be modeled along perceptual dimensions. Hence, we detect basic visual categories that people use in judgment of similarity, and design a computational model that accepts patterns as input, and depending on the query, produces a set of choices that follow human behavior in pattern matching. There are two major research aspects to our work. The first one addresses the issue of how humans perceive and measure similarity within the domain of color patterns. To understand and describe this mechanism we performed a subjective experiment. The experiment yielded five perceptual criteria used in comparison between color patterns (vocabulary), as well as a set of rules governing the use of these criteria in similarity judgment (grammar). The second research aspect is the actual implementation of the perceptual criteria and rules in an image retrieval system. Following the processing typical for human vision, we design a system to: 1)extract perceptual features from the vocabulary and 2) perform the comparison between the patterns according to the grammar rules. The modeling of human perception of color patterns is new-starting with a new color codebook design, compact color representation, and texture description through multiple scale edge distribution along different directions. Moreover, we propose new color and texture distance functions that correlate with human performance. The performance of the system is illustrated with numerous examples from image databases from different application domains.

关键词： color and texture classification color and texture extraction image database retrieval

来源：评论

学校读者我要写书评

暂无评论

Approximate search in image database

Approximate search in image database

引用

Conference on Storage and retrieval for Media databases 2000

作者： Ferro, A Gallo, G Giugno, R Univ Catania Dipartimento Matemat & Informat I-95125 Catania Italy

ISBN: (纸本)0819435902

This paper presents a new approach to content based retrieval in image databases. The basic new idea in the proposed technique is to organize the quantized and truncated wavelet coefficients of an image into a suitable tree structure. The tree structure respects the natural hierarchy imposed on the coefficients by the successive resolution levels. Ail the trees relative to the images in a database are organized into a trie. This structure helps in the error tolerant retrieval of queries. The results obtained show that this approach is promising provided that a suitable distance function between trees is adapted.

关键词： error tolerant search wavelets transform image database retrieval

来源：评论

学校读者我要写书评

暂无评论

Curvature scale space image in shape similarity retrieval

引用

MULTIMEDIA SYSTEMS 1999年第6期7卷 467-476页

作者： Abbasi, S Mokhtarian, F Kittler, J Univ Surrey Dept Elect & Elect Engn Ctr Vis Speech & Signal Proc Guildford GU2 5XH Surrey England

In many applications, the user of an image database system points to an image, and wishes to retrieve similar images from the database. Computer vision researchers aim to capture image information in feature vectors which describe shape, texture and color properties of the image. These vectors are indexed or compared to one another during query processing to find images from the database. This paper is concerned with the problem of shape similarity retrieval in image databases. Curvature scale space (CSS) image representation along with a small number of global parameters are used for this purpose. The CSS image consists of several arch-shape contours representing the inflection points of the shape as it is smoothed. The maxima of these contours are used to represent a shape. The method is then tested on a database of 1100 images of marine creatures. A classified subset of this database is used to evaluate the method and compare it with other methods. The results show the promising performance of the method and its superiority over Fourier descriptors and moment invariants.

关键词： multi-scale analysis shape similarity curvature scale space image database retrieval performance characterisation

来源：评论

学校读者我要写书评

暂无评论

Using orientation tokens for object recognition

引用

PATTERN RECOGNITION LETTERS 1998年第12期19卷 1125-1132页

作者： Kovalev, VA Petrou, M Bondar, YS Univ Surrey Sch Elect Engn Informat Technol & Math Guildford GU2 5XH Surrey England Byelarussian Acad Sci Inst Math Gomel 246652 BELARUS

We propose the use of co-occurrence matrices/histograms (of relative distance, relative angle) between pairs of orientation tokens for silhouette recognition and texture discrimination. The orientation tokens are defined as the tangent vectors to the boundary of the silhouette, or the gradient vectors for grey images. The efficiency of the method is demonstrated with the help of three different series of experiments with real data. (C) 1998 Elsevier Science B.V. All rights reserved.

关键词： orientation tokens angle-distance histograms image database retrieval texture discrimination

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：