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Analysis of Using Metric Access Methods for Visual Search of Objects in Video Databases

Henrique Batista Silva, Zenilton Kleber Gonçalves Patrocínio, Silvio Jamil Ferzoli Guimarães
2014 Revista de Informática Teórica e Aplicada  
Though works in the literature have only adopted a simple sequential scan during search, we investigate the use of different metric access methods (MAM): M-tree, Slim-tree, and D-index, in order to accelerate  ...  Vector quantizing these region descriptors provides a visual analogy of a word -a visual word.  ...  Building Vocabulary Initially, the video has been sampled in a simple way in which one frame per second was extracted, totaling 1146 frames.  ... 
doi:10.22456/2175-2745.37349 fatcat:zjaglcwvdrgipfibnxaivo64oq

Visual Exploration of Health Information for Children [chapter]

Frans van der Sluis, Sergio Duarte Torres, Djoerd Hiemstra, Betsy van Dijk, Frea Kruisinga
2011 Lecture Notes in Computer Science  
In this work we present a novel method to address this problem using a cross-media search interface in which the textual data is searched through visual images.  ...  This solution aims to solve the recall and recognition problem which is salient for health information, by replacing the need for a vocabulary with the easy task of recognising the different body parts  ...  Acknowledgements This work was part of the PuppyIR project, which is supported by a grant of the 7th Framework ICT Programme (FP7-ICT-2007-3) of the European Union.  ... 
doi:10.1007/978-3-642-20161-5_95 fatcat:p2qgim6t5jgflpoydcrv5fuhem

Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening [chapter]

Hervé Jégou, Ondřej Chum
2012 Lecture Notes in Computer Science  
., a visual word that is mutually missing in two descriptions being compared, and ii) the axis de-correlation and the co-occurrences phenomenon.  ...  Finally, we propose an effective way to alleviate the quantization artifacts through a joint dimensionality reduction of multiple vocabularies.  ...  We, therefore, propose a simple way to better take into account this case in BOW vectors.  ... 
doi:10.1007/978-3-642-33709-3_55 fatcat:xqajeeyjo5f6td4pysnz3zlun4

Image Retrieval based on Bag-of-Words model [article]

Jialu Liu
2013 arXiv   pre-print
This article gives a survey for bag-of-words (BoW) or bag-of-features model in image retrieval system.  ...  A common way to achieve this is first quantizing local descriptors into visual words, and then applying scalable textual indexing and retrieval schemes.  ...  We then sequentially discuss the key point detection, local description, vocabulary generation, vector quantization, indexing and search.  ... 
arXiv:1304.5168v1 fatcat:6jycm42bg5guzgzlzdbc2pydby

City-Scale Location Recognition

Grant Schindler, Matthew Brown, Richard Szeliski
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
We look at the problem of location recognition in a large image dataset using a vocabulary tree.  ...  We also introduce a generalization of the traditional vocabulary tree search algorithm which improves performance by effectively increasing the branching factor of a fixed vocabulary tree.  ...  N DB − a − b )] (5) The significance of this equation is that the information gain of a visual word is captured by a simple function of the values a and b as shown in Figure 4 .  ... 
doi:10.1109/cvpr.2007.383150 dblp:conf/cvpr/SchindlerBS07 fatcat:37vmsrh7vnbijkozey3wvms7zq

Interactive Known-Item Search Using Semantic Textual and Colour Modalities [chapter]

Zhenxing Zhang, Rami Albatal, Cathal Gurrin, Alan F. Smeaton
2015 Lecture Notes in Computer Science  
The system offers the user a comprehensive search interface which has as key features: keyword search, color-region search and human face filtering.  ...  In this paper, we propose an interactive video browser tool for our participation in the fourth video search showcase event.  ...  This approach is conceptually simple, yet surprisingly powerful as a method for visual known item search scenario.  ... 
doi:10.1007/978-3-319-14442-9_29 fatcat:kectq4iggzhobhcd6hfpct644i

Accurate Image Search Using the Contextual Dissimilarity Measure

H. Jegou, C. Schmid, H. Harzallah, J. Verbeek
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This paper also evaluates the impact of a large number of parameters, including the number of descriptors, the clustering method, the visual vocabulary size and the distance measure.  ...  This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-of-features based image search.  ...  Sivic, A. Zisserman, D. Nistér and H. Stewénius for kindly providing their datasets.  ... 
doi:10.1109/tpami.2008.285 pmid:19926895 fatcat:rhpvp6h7dzbebgkicisgnkm6p4

Taxonomy and Ontology Management Tools: A General Explanation [chapter]

Sukumar Mandal
2019 Ontology in Information Science [Working Title]  
Until several years ago, the semantic web was primarily in a research phase. The new implementations of it were mainly to demonstrate the potential of the idea.  ...  This is very helpful to the users in using the concept of science and technology in cloud computing and online and offline environment.  ...  Search interfaces of visual vocabulary are very sophisticated, and here quick search facilities are available also.  ... 
doi:10.5772/intechopen.88606 fatcat:i2kgd35dwvbe5oy5aqinj6bpku

How can heat maps of indexing vocabularies be utilized for information seeking purposes? [article]

Peter Mutschke, Karima Haddou ou Moussa
2015 arXiv   pre-print
The paper proposes a use case for enhancing search term recommendations by heat map visualizations of co-word relation-ships taken from indexing vocabulary.  ...  Knowledge maps use visualizations to gain insights into the structure of large-scale information spaces, but are still far away from being applicable for searching.  ...  Heat maps are simple visualizations of data in a color-coded 2-dimensional matrix where cells have a particular color index indicating remarkable values of the matrix.  ... 
arXiv:1502.01965v1 fatcat:k6wmb44nhngwrnmtbvzh4gwhxm

An efficient index for visual search in appearance-based SLAM

Kiana Hajebi, Hong Zhang
2014 2014 IEEE International Conference on Robotics and Automation (ICRA)  
Vector-quantization can be a computationally expensive step in visual bag-of-words (BoW) search when the vocabulary is large.  ...  We employ a graph-based nearest neighbor search (GNNS) algorithm to this aim, and experimentally show that it can outperform the state-of-the-art.  ...  In the previous sub-section, we mentioned to use a k-NN graph as the search index for the vocabulary so that each visual word corresponds to a node in the graph.  ... 
doi:10.1109/icra.2014.6906881 dblp:conf/icra/HajebiZ14 fatcat:htrxtz2lfvaqjo5w6sey6nqw2u

An Efficient Index for Visual Search in Appearance-based SLAM [article]

Kiana Hajebi, Hong Zhang
2013 arXiv   pre-print
Vector-quantization can be a computationally expensive step in visual bag-of-words (BoW) search when the vocabulary is large.  ...  We employ a graph-based nearest neighbor search (GNNS) algorithm to this aim, and experimentally show that it can outperform the state-of-the-art.  ...  In the previous sub-section, we mentioned to use a k-NN graph as the search index for the vocabulary so that each visual word corresponds to a node in the graph.  ... 
arXiv:1309.7170v1 fatcat:lfd7wylsy5dxxbi7al7r4l6zzm

Page 498 of Contemporary Psychology Vol. 44, Issue 6 [page]

1999 Contemporary Psychology  
Comprehension of simple and incomplete sentences is supported by the visual context of the dialogue.  ...  However, vocabulary items on verbal IQ tests, like the vocabulary of TV programs, tend to be fairly simple.  ... 

Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE

Jonathan Demelo, Paul Parsons, Kamran Sedig
2017 JMIR Medical Informatics  
Objective: Our objective was to improve support for exploratory search tasks by combining two strategies in the design of an interactive visual interface by (1) using a formal ontology to help users build  ...  We implemented multistage triaging support in OVERT-MED, with the aid of interactive visualization techniques, to help users deal with large document sets returned from searches.  ...  Acknowledgments This research has been supported financially by the Natural Sciences and Engineering Council of Canada. Conflicts of Interest None declared.  ... 
doi:10.2196/medinform.6918 pmid:28153818 pmcid:PMC5314102 fatcat:f4iz644ug5ckdiw5sgrcoyf45a

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors - Extended Version [article]

Filip Radenovic, Herve Jegou, Ondrej Chum
2015 arXiv   pre-print
Our extensive evaluation shows that different combinations of vocabularies, each partitioning the descriptor space in a different yet complementary manner, results in a significant performance improvement  ...  In particular, the method of joint dimensionality reduction of multiple vocabularies is considered.  ...  For each image in the dataset, a histogram of occurrences of visual words is computed.  ... 
arXiv:1504.03285v1 fatcat:5ib7mpeuura4pku4a7m6drnwni

Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors

Filip Radenović, Hervé Jégou, Ondrej Chum
2015 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15  
Our extensive evaluation shows that different combinations of vocabularies, each partitioning the descriptor space in a different yet complementary manner, results in a significant performance improvement  ...  In particular, the method of joint dimensionality reduction of multiple vocabularies is considered.  ...  For each image in the dataset, a histogram of occurrences of visual words is computed.  ... 
doi:10.1145/2671188.2749366 dblp:conf/mir/RadenovicJC15 fatcat:irfzcnls4vapjl3fqa4j4tr35a
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