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Hierarchical binary histograms for summarizing multi-dimensional data

F. Furfaro, G. M. Mazzeo, D. Saccà, C. Sirangelo
2005 Proceedings of the 2005 ACM symposium on Applied computing - SAC '05  
These classes are based on a particular binary hierarchical partition scheme, where blocks of data are recursively split into two sub-blocks, and use a tree structure for the representation of blocks and  ...  Two new classes of histogram-based summarization techniques which are very effective for multi-dimensional data are proposed.  ...  Hierarchical Binary Histogram The hierarchical partition scheme underlying a flat binary histogram can be exploited to define a new class of histogram, which improves the efficiency of the physical representation  ... 
doi:10.1145/1066677.1066817 dblp:conf/sac/FurfaroMSS05 fatcat:vkrpmvvnhvbatevlvemrvjutiq

Sequential document visualization based on hierarchical parametric histogram curves

Haidong Chen, Guizhen Wang, Dichao Peng, Wuheng Zuo, Wei Chen
2012 Tsinghua Science and Technology  
We introduce a new parametric modeling approach called the Hierarchical Parametric Histogram Curve (HPHC), which encodes the statistical progression locally and adaptively.  ...  The new representation expresses the primary content with a graphical form, and allows for efficient multi-resolution and focus+context exploration in a long document.  ...  Hierarchical Parametric Histogram Curve The representation of a document is a key component in visualizing its contents.  ... 
doi:10.1109/tst.2012.6297587 fatcat:bwqxng4cxjcf7ns3j74mbyrx7q

A new approach to image retrieval with hierarchical color clustering

Xia Wan, C.-C.J. Kuo
1998 IEEE transactions on circuits and systems for video technology (Print)  
based on a pruned octree data structure to achieve efficient and robust image retrieval.  ...  Index Terms-Color quantization, content-based retrieval, image database, image indexing, image retrieval, query processing.  ...  CONCLUSION We investigated the effect of color quantization schemes on the performance of image retrieval, and proposed a new hierarchical color extraction and indexing scheme based on a pruned octree  ... 
doi:10.1109/76.718509 fatcat:k52xjwgotfhppnmyqnbttxqesi

Image retrieval using hierarchical self-organizing feature maps

I.K. Sethi, I. Coman
1999 Pattern Recognition Letters  
This paper presents a scheme for image retrieval that lets a user retrieve images either by exploring summary views of the image collection at dierent levels or by similarity retrieval using query images  ...  The proposed scheme is based on image clustering through a hierarchy of self-organizing feature maps.  ...  Color composition representation The image exploration and retrieval scheme described here uses image color information to build a feature vector representation for images.  ... 
doi:10.1016/s0167-8655(99)00103-8 fatcat:ehzd5rwui5bcvemyxrue7m7f3a

Content-based sub-image retrieval using relevance feedback

Jie Luo, Mario A. Nascimento
2004 Proceedings of the 2nd ACM international workshop on Multimedia databases - MMDB '04  
We propose a scheme named the Hierarchical Tree Matching (HTM), which relies on a hierarchical tree that encodes the color features of image tiles stored in turn as an index sequence.  ...  This thesis deals with the problem of £nding images that contain a given query sub-image, the so-called Content-Based sub-Image Retrieval (CBsIR) problem.  ...  Summary In summary, we have proposed a new method called Hierarchical Tree Matching (HTM) for the problem of content-based sub-image retrieval (CBsIR).  ... 
doi:10.1145/1032604.1032607 dblp:conf/mmdb/LuoN04 fatcat:sfghwshm3vc4bcryap2aifcq34

Holons Visual Representation for Image Retrieval

Le Dong, Yan Liang, Gaipeng Kong, Qianni Zhang, Xiaochun Cao, Ebroul Izquierdo
2016 IEEE transactions on multimedia  
Due to the intrinsic mechanism, state-of-the-art Vector of Locally Aggregated Descriptors (VLAD) has a few limits. Based on this, we propose a new descriptor named Holons Visual Representation (HVR).  ...  Accordingly, the HVR is computed by a twolayer hierarchical scheme, which splits the local feature space and obtains raw partitions, as well as, the corresponding refined partitions.  ...  Based on the above analysis, we propose a brand new image representation, i.e., HVR.  ... 
doi:10.1109/tmm.2016.2530399 fatcat:7lpfxs7mireu7lyirin467zw5a

An automatic hierarchical image classification scheme

Jing Huang, S. Ravi Kumar, Ramin Zabih
1998 Proceedings of the sixth ACM international conference on Multimedia - MULTIMEDIA '98  
We use the training data to obtain a hierarchical classification tree that can be used to categorize new images.  ...  Not much work has been done on automatic image classification, however. In this paper, we propose a method for hierarchical classification of images via supervised learning.  ...  In this paper, we propose a new scheme for automatic hierarchical image classification. We assume a training set of images with known class labels is available.  ... 
doi:10.1145/290747.290774 dblp:conf/mm/HuangKZ98 fatcat:xf7fgzl42nfpfhf26ihrmax6vi

FAST: Toward more effective and efficient image retrieval

Ruofei Zhang, Zhongfei Mark Zhang
2005 Multimedia Systems  
a region-based approach to improving the retrieval effectiveness and robustness; (2) development of a new hierarchical indexing structure and the corresponding hierarchical, elimination-based A* retrieval  ...  Keywords Content-based image retrieval · Region-based features · Hierarchical indexing structure · Indexing tree pruning · Relevance feedback Introduction This work addresses the topic of general-purpose  ...  FAST incorporates a new indexing scheme, a hierarchical indexing structure with a hierarchical, elimination-based A* online search algorithm called HEAR.  ... 
doi:10.1007/s00530-005-0180-9 fatcat:s2nznybbebawbaial7ootkwdne

Automatic Hierarchical Color Image Classification

Jing Huang, S. Ravi Kumar, Ramin Zabih
2003 EURASIP Journal on Advances in Signal Processing  
We use the training data to obtain a hierarchical classification tree that can be used to categorize new images.  ...  Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however.  ...  [16] propose a new representation for images.  ... 
doi:10.1155/s1110865703211161 fatcat:japgzyzkhfbtblnq3kxgc3tjnq

Content-Based Sub-Image Retrieval with Relevance Feedback [article]

Jie Luo, Mario A. Nascimento
2009 arXiv   pre-print
The typical content-based image retrieval problem is to find images within a database that are similar to a given query image.  ...  This paper presents a solution to a different problem, namely that of content based sub-image retrieval, i.e., finding images from a database that contains another image.  ...  Introduction Most of the content-based image retrieval (CBIR) systems perform retrieval based on a full image comparison, i.e., given a query image the system returns overall similar images.  ... 
arXiv:0904.4041v1 fatcat:jlzmai7esjcelizqixnrcddobm

An Effective Image Representation For Visual Information Retrieval

J. You
2015 Zenodo  
A general wavelet based scheme for image feature extraction and representation is summarised above.  ...  Section 3 outlines the proposed deductive a g e n t-oriented image database and Section 4 describes a wavelet-based scheme for visual information representation.  ... 
doi:10.5281/zenodo.37326 fatcat:hslezvczubhknl7agjhcbuicdq

A Simple Hierarchical Pooling Data Structure for Loop Closure [article]

Xiaohan Fei, Konstantine Tsotsos, Stefano Soatto
2018 arXiv   pre-print
We propose a data structure obtained by hierarchically averaging bag-of-word descriptors during a sequence of views that achieves average speedups in large-scale loop closure applications ranging from  ...  Although simple, the method works as well as sophisticated agglomerative schemes at a fraction of the cost with minimal loss of performance.  ...  Motivated by this intuition, we propose a new hierarchical representation for loop closure, detailed in Sec. 2.  ... 
arXiv:1511.06489v2 fatcat:u4ikhfr53nfqzmxjy4cl6pyw7m

A Simple Hierarchical Pooling Data Structure for Loop Closure [chapter]

Xiaohan Fei, Konstantine Tsotsos, Stefano Soatto
2016 Lecture Notes in Computer Science  
We propose a data structure obtained by hierarchically pooling Bag-of-Words (BoW) descriptors during a sequence of views that achieves average speedups in large-scale loop closure applications ranging  ...  Although simple, the method works as well as sophisticated agglomerative schemes at a fraction of the cost with minimal loss of performance.  ...  Motivated by this intuition, we propose a new hierarchical representation for loop closure, detailed in Sec. 2.  ... 
doi:10.1007/978-3-319-46487-9_20 fatcat:eh5fbgzpzzg2jmhmzbkpkkijhq

Shape Descriptor Based Document Image Indexing and Symbol Recognition

Ehtesham Hassan, Santanu Chaudhury, M. Gopal
2009 2009 10th International Conference on Document Analysis and Recognition  
For indexing, we provide a new formulation for distance based hierarchical locality sensitive hashing.  ...  In this paper we present a novel shape descriptor based on shape context, which in combination with hierarchical distance based hashing is used for word and graphical pattern based document image indexing  ...  A novel hierarchical distance based hashing framework is introduced for document image indexing.  ... 
doi:10.1109/icdar.2009.63 dblp:conf/icdar/HassanCG09 fatcat:ypp4cy2aungwzgzpganu7m5r3m

A survey on cbir techniques and learning algorithm comparison

2016 International Journal of Latest Trends in Engineering and Technology  
It uses a combination of global feature for shape based templates. In this work a novel learning technique is put forth which is based on hierarchal data decomposition.  ...  A new CBIR method is presented, which is based on image frequency content.  ... 
doi:10.21172/1.81.026 fatcat:jvw72a4pmjhmzogib5gqy7sgqm
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