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Image Retrieval System Using Hybrid Feature Extraction Technique

Vadhri Suryanarayana
2012 International Journal of Computer Science & Information Technology (IJCSIT)  
And the hybrid technique is the combination of both texture and shape. The major advantage of such an approach is that little human intervention is required.  ...  A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image.  ...  PERFORMANCE ANALYSIS Based on commonly used performance measures in information retrieval, two statistical measures were computed to assess system performance namely Recall and Precision.  ... 
doi:10.5121/ijcsit.2012.4114 fatcat:3v6t4umg6vcnhovmncsfcsjgna

SURVEY ON MULTI QUERY CONTENT BASED IMAGE RETRIEVAL SYSTEMS

M Praveen, K. Sivanarulselvan, P. Betty
2016 ELK Asia Pacific Journal of Computer Science and Information Systems  
Keywords: Content based image retrieval (CBIR), Feature matching, Multiple query image retrieval (MQIR), semantic gap reduction techniques.  ...  Techniques used in these systems increases the efficiency of content based image retrieval systems by reducing the spatial gap between low level features and high level concepts and thus increases the  ...  This strategy is able to better reflect the characteristics of images from the perspective of image region and objects, and in turn further improve the image retrieval performance.  ... 
doi:10.16962/eapjcsis/issn.2394-0441/20160930.v2i1.03 fatcat:npu62nb2xfbgtkqpekux6wik54

A Hybrid Secure watermarking technique in Telemedicine

Swaraja K
2017 International Journal of Engineering and Technology  
In order to improve the robustness performance of the scheme DWT, DCT and SVD is applied while inserting the multiple watermarks to reduce the noise effects on the watermarked image.  ...  The Projected scheme is discussed with regard to the procedure of insertion and extraction of the multiple watermarks on medical images in section 3.  ...  Low-high frequency band (LH2) of the second level DWT is altered by DCT and subsequently SVD is applied to DCT coefficients. The image as well as text watermark is also altered by DCT and SVD.  ... 
doi:10.21817/ijet/2017/v9i3/170903s042 fatcat:ydbc6qyw45chvl3rdvuvcz5l7e

RETRIEVAL OF COMPLEX IMAGES USING VISUAL SALIENCY GUIDED COGNITIVE CLASSIFICATION

Dr. Vijayakumar T., Vinothkanna R.
2020 Journal of Innovative Image Processing  
In complex scenarios, the baselines are overcome by the proposed system when tested on multiple databased as compared to other state-of-the-art models.  ...  Data storage via multimedia technology is more preferred as the information in multimedia contain rich meanings and are concise when compared to the traditional textual information.  ...  Thorough analysis of the image is performed in the fundamental image and the vision characteristic vector is generated and extracted.  ... 
doi:10.36548/jiip.2020.2.005 fatcat:bxc4l5gnrbdg5geshnjre6gcia

An adaptable search engine for multimodal information retrieval

Gilles Hubert, Josiane Mothe
2009 Journal of the American Society for Information Science and Technology  
Multimodal information retrieval is a research problem of great interest in all domains, due to the huge collections of multimedia data available in different contexts like text, image, audio and video  ...  This paper is an overview of multimodal information retrieval, challenges in the progress of multimodal information retrieval. General Terms Multi Modal Information Retrieval, Information Retrieval.  ...  The fusion of multimodal information is usually performed at three different levels: data/feature level, score level, and decision level [23] .  ... 
doi:10.1002/asi.21091 fatcat:jgcvyun6zna7vkze5wcliibzxu

FEATURE BASED IMAGE RETRIEVAL USING CLASSIFICATION AND RELEVANCE FEEDBACK TECHNIQUE

2015 International Journal of Advance Engineering and Research Development  
Recently, the research focus in FBIR has been in reducing the semantic gap, between the low level visual features and the high level image semantics.  ...  In this study multiple feature extraction will be use by combining above three methods. Based on the extracted feature Support vector machine classification technique is applied.  ...  This information is obtained using canny, sobel algorithm and edge directions are quantized to store in bins. This technique provide scale and rotation invariance [3] .  ... 
doi:10.21090/ijaerd.0205175 fatcat:xorjkfh62fab7k4gzttxfisz4e

Modelling Architecture for Multimedia Data Warehouse
english

Mital Vora, Jelam Vora, Dr. N. N. Jani
2015 International Journal of Innovative Research in Science, Engineering and Technology  
Storage and retrieval of multimedia data is a critical issue for the overall system's performance and functionality.  ...  Multimedia data warehouse must be studied in order to provide an efficient environment in which data can be efficiently stored, retrieved and analyzed.  ...  A Data warehouse built by integrating large amount of data from multiple heterogeneous sources and is organized in a way to provide vital strategic information.  ... 
doi:10.15680/ijirset.2015.0401048 fatcat:qrm25z3ccfhyff3unxqyipq5r4

Impact of Multi-Feature Extraction on Image Retrieval and classification Using Machine Learning Technique

Padmashree Desai, Jagadeesh Pujari, Akhila, C. Sujatha
2021 SN Computer Science  
Vast information generated due to the web requires proper mechanisms and tools for efficient management and retrieval of images. This led to the development of an efficient image retrieval system.  ...  The experimental results show that multi-feature extraction techniques give better results in some of the individual categories but retrieval results using machine learning is better with respect to average  ...  Applying ML techniques in extracting high-level features has enhanced the retrieval process, which can be applied for low-level feature extraction as well.  ... 
doi:10.1007/s42979-021-00532-9 fatcat:sktbauccjjevhefpjggbexrytm

Information Retrieval Challenges for Digital Libraries [chapter]

Edie Rasmussen
2004 Lecture Notes in Computer Science  
Much of the current research in information retrieval is potentially relevant to digital libraries, and digital libraries present a challenging environment in which to incorporate new information retrieval  ...  Information retrieval is an important component of digital libraries, and there is a high degree of synergy between the two research communities.  ...  Skepticism about scalability applied not only to the problem of achieving a rapid response rate on systems serving hundreds of users, but perhaps more importantly, to the performance levels which could  ... 
doi:10.1007/978-3-540-30544-6_10 fatcat:q6ytnrhy5zbljns4idt46td2di

Comparative Study on Multi-focus Image Fusion Techniques in Dynamic Scene

Rajvi Patel, Manali Rajput, Pramit Parekh
2015 International Journal of Computer Applications  
With the increased development of technology, it is necessary to retrieve information from multi source images in order to produce a high quality fused image with spatial and spectral information.  ...  Even if the fused image can have balancing spatial and spectral resolution characteristics, the existing image fusion techniques can distort the sprectral information of the multisprectal data while merging  ...  The approach efficiently utilizes the information retrieved from the input image in order to obtain a resultant fused image which increases the efficiency of tumor detection.  ... 
doi:10.5120/19190-0792 fatcat:icisvfbi2vdevh35yyyl467piy

Exploiting Local Features from Deep Networks for Image Retrieval [article]

Joe Yue-Hei Ng, Fan Yang, Larry S. Davis
2015 arXiv   pre-print
We show that for instance-level image retrieval, lower layers often perform better than the last layers in convolutional neural networks.  ...  When these same networks have been applied to image retrieval, the assumption has been made that the last layers would give the best performance, as they do in classification.  ...  However, as CNNs become deeper, it is unclear how the intermediate to high level convolutional layers would perform in capturing correspondence information.  ... 
arXiv:1504.05133v2 fatcat:jvivxjh2c5amxkoxl3p52riqfm

Adaptive video indexing and automatic/semi-automatic relevance feedback

P. Munesawang, Ling Guan
2005 IEEE transactions on circuits and systems for video technology (Print)  
The AVI indexing method can be effectively adapted for video shot, scene, and story queries, in order to facilitate multiple-level access to a video database.  ...  A new adaptive video indexing (AVI) technique based on a template-frequency model, together with a self-training retrieval architecture, is proposed, to allow full use of temporal information.  ...  Comparison of the retrieval performance at the shot level (a) obtained by KFVI and (b) obtained by the AVI.  ... 
doi:10.1109/tcsvt.2005.852412 fatcat:c2ldxbacfzemzn63ufl6s7fqmu

CONTENT BASED MULTISPECTRAL SATELLITE IMAGE RETRIEVAL SYSTEM USING HYBRID MODEL

Chandani Joshi
2017 International Journal of Advanced Research in Computer Science  
To store the satellite data and retrieved the relevant results is becoming a big task. Content Based image Retrieval (CBIR) is a technique to retrieve the relevant image from the database.  ...  These features are compared with the query image features and the results are obtained by the similarity measure technique. In this paper, for similarity measure Euclidean distance measure is used.  ...  The images are extracted with low level and along with the high level feature extraction techniques.  ... 
doi:10.26483/ijarcs.v8i7.4579 fatcat:bu3wem4jnzgnxdg47r2dz2ikiu

Exploiting local features from deep networks for image retrieval

Joe Yue-Hei Ng, Fan Yang, Larry S. Davis
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
We show that for instance-level image retrieval, lower layers often perform better than the last layers in convolutional neural networks.  ...  When these same networks have been applied to image retrieval, the assumption has been made that the last layers would give the best performance, as they do in classification.  ...  However, as CNNs become deeper, it is unclear how the intermediate to high level convolutional layers would perform in capturing correspondence information.  ... 
doi:10.1109/cvprw.2015.7301272 dblp:conf/cvpr/NgYD15 fatcat:kwgnyb2irfgtxhko6p3vg7dzze

Hierarchical affinity hybrid tree: A multidimensional index structure to organize videos and support content-based retrievals

Kasturi Chatterjee, Shu-Ching Chen
2008 2008 IEEE International Conference on Information Reuse and Integration  
data storage, index, and query engines need to be developed with dedicated abilities to handle the characteristics of multimedia data like multidimensional representation and semantic gap.  ...  Data management techniques for traditional text-based data are inadequate to handle multimedia data efficiently due to their atypical characteristics.  ...  A set-based nearest neighbor approach applied on a multidimensional index structure, to index and retrieve videos based on their feature information, was proposed in [11] .  ... 
doi:10.1109/iri.2008.4583070 dblp:conf/iri/ChatterjeeC08 fatcat:anaxc636yrccja7ehti5ypx4my
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