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A query expansion framework in image retrieval domain based on local and global analysis
2011
Information Processing & Management
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We present an image retrieval framework based on automatic query expansion in a concept feature space by generalizing the vector space model of information retrieval. ...
We also analyze the concept similarities in the collection as a whole in the form of a similarity thesaurus and propose an efficient query expansion based on the global analysis. ...
We propose automatic query expansion approaches in a concept feature space based on both the local and global analysis. ...
doi:10.1016/j.ipm.2010.12.001
pmid:21822350
pmcid:PMC3150552
fatcat:ow4wnbo7bfcvbd43svf7lh36c4
A review of text and image retrieval approaches for broadcast news video
2007
Information retrieval (Boston)
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Numerous components of text/image retrieval have been discussed in detail, including retrieval models, text sources, temporal expansion methods, query expansion methods, image features, and similarity ...
The effectiveness of a video retrieval system largely depends on the choice of underlying text and image retrieval components. ...
Acknowledgements This material is based upon work funded in part by the US Government. ...
doi:10.1007/s10791-007-9031-y
fatcat:p2kgunmtbnfd5p76juxtfzqz54
IBM Research TRECVID-2006 Video Retrieval System
2006
TREC Video Retrieval Evaluation
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In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2006 video retrieval benchmark. ...
This year, focus of the system improvement was on ensemble learning and fusion for both high-level feature detection task and the search task. ...
Model-based retrieval Model-based retrieval applies the results from off-line concept detection and text analysis to on-line queries by triggering concept models with different weights. ...
dblp:conf/trecvid/CampbellHEJNNSS06
fatcat:t2wpc5feqnedljhgcxy7lzx4hq
Inter-media Pseudo-relevance Feedback Application to ImageCLEF 2006 Photo Retrieval
[chapter]
2007
Lecture Notes in Computer Science
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We show in particular how inter-media re-ranking and pseudo-relevance feedback have been used for producing the results. We have also tested Latent Semantic Analysis (LSA) approach on visual runs. ...
This paper provides a description of the way results has been produced. The text/image database used is IAPR [1]. We have tested a cooperative use of a text retrieval and an image retrieval engine. ...
For visual only runs, Latent Semantic Analysis (LSA) leads to slightly better results compared to retrieval based on visual similarity in the feature space. ...
doi:10.1007/978-3-540-74999-8_92
fatcat:wu3wfpzjcjevpafind6lntsqvi
Image Search in a Visual Concept Feature Space with SOM-Based Clustering and Modified Inverted Indexing
[chapter]
2011
Self Organizing Maps - Applications and Novel Algorithm Design
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We explore the similarity matching technique based on the global correlation analysis of the concepts and query expansion based on a local neighborhood analysis of a SOM generated codebook by exploiting ...
To overcome the limitation, we present a correlation-enhanced similarity matching and query expansion framework on the concept-based feature space. ...
doi:10.5772/13980
fatcat:ajbhwstbrngp5oi5fixcjm3ezy
Semantic concept-based query expansion and re-ranking for multimedia retrieval
2007
Proceedings of the 15th international conference on Multimedia - MULTIMEDIA '07
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Three general approaches are illustrated for identifying relevant semantic concepts to a query-based on textual query analysis, visual content-based query modeling, and pseudorelevance feedback. ...
In addition, we study several other recently proposed methods for concept-based query expansion. In total, we compare 7 different approaches for expanding queries with visual semantic concepts. ...
We take a more robust feedback approach, termed probabilistic local context analysis(pLCA) [1] , that automatically leverage useful high-level semantic concepts to improve the initial retrieval output ...
doi:10.1145/1291233.1291448
dblp:conf/mm/NatsevHTXY07
fatcat:lqjfylum3bgwtkepponnjx6f3i
IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006
2006
Conference and Labs of the Evaluation Forum
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We also test a visual retrieval system based on manual query design and visual task fusion. ...
For images, this knowledge is in semantic features that are learned from examples within structured learning framework. We propose to represent both image and text using UMLS concepts. ...
In the near future, we plan to use the LVM terms from local indexing for semantics-based retrieval (i.e. cross-modal retrieval: processing textual query on LVM-based image indexes). ...
dblp:conf/clef/LacosteCLWRLTV06
fatcat:ka7vj5s5wzhxtndxjt64hxb6sy
Video Retrieval Based on Semantic Concepts
2008
Proceedings of the IEEE
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| An approach using many intermediate semantic concepts is proposed with the potential to bridge the semantic gap between what a color, shape, and texture-based Blowlevel[ image analysis can extract from ...
We illustrate how semantic concept retrieval can be automatically exploited by mapping queries into query classes and through pseudo-relevance feedback. ...
Over and the TRECVID organizers for shepherding the video retrieval evaluations. They are also indebted to W. ...
doi:10.1109/jproc.2008.916355
fatcat:icx463ds5nbwpigc5abyhrfaai
The Use of Ontology in Retrieval: A Study on Textual, Multilingual and Multimedia Retrieval
2019
IEEE Access
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Ontological information retrieval systems retrieve data based on the similarity of semantics between the user query and the indexed data. ...
Trivial keyword-based information retrieval systems highly depend on the statistics of data, thus facing word mismatch problem due to inevitable semantic and context variations of a certain word. ...
Relevance Feedback (RF): is a user response based on-line process in which semantic space between semantic concepts and features is reduced. ...
doi:10.1109/access.2019.2897849
fatcat:ei2zxyxdjndbvgzzue2indwqy4
S-IRAS
2006
International Journal on Semantic Web and Information Systems (IJSWIS)
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In this article, we present a semantic image query system with integrated feedback mechanism. Our system has two major components: the low-levelfeature space and the semantic space. ...
In the low-level feature space, images are described by multidimensional vectors and are clustered based on the similarity of their contents. ...
Image Retrieval -, . _ In our image database, a labeled image is retrieved based on its low-level features or its semantic expression. ...
doi:10.4018/jswis.2006070103
fatcat:mvyqhmxa7bbsvbdadc33tmuts4
Intelligent Sports Video Classification Based on Deep Neural Network (DNN) Algorithm and Transfer Learning
2021
Computational Intelligence and Neuroscience
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Through extensive experiments, the keyword fuzzy finding algorithm based on improved deep neural network and ontology semantic expansion proposed in this paper shows a more desirable retrieval performance ...
In addition, this paper proposes a key frame extraction algorithm based on clustering and optical flow analysis for key frame extraction of sports video. ...
Acknowledgments is work in this article was supported by Shaanxi Normal University. ...
doi:10.1155/2021/1825273
pmid:34868286
pmcid:PMC8635908
fatcat:4sglxathbzatnkf7sejohhhbru
OntoImVid-ontology based semantic image/video processing
2022
International Journal of Health Sciences
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OntoImVid structure is created from both image and video semantic analysis results. Proposed OntoImVid combines the image and Video retrieval in same semantic retrieval technique in efficient manner. ...
A low-level features and video content analysis algorithms are integrated into the ontology to enrich video semantic analysis. OWL is used for the ontology description. ...
Ontology-based query expansion models are classified into three types: manual query expansion, user assistance-based query expansion, and automatic techniques. ...
doi:10.53730/ijhs.v6ns8.9961
fatcat:gvhxhfkqrjdjdgufneyrh3fl54
How to Visually Retrieve Images from the St. Andrews Collection Using GIFT
[chapter]
2005
Lecture Notes in Computer Science
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The imageCLEF task of the Cross Language Evaluation forum has as its main goal the retrieval of images from multi-lingual test collections, or retrieval of images where the query is in a different language ...
Input for these queries were only the query images. No feedback or automatic query expansion was used. ...
Retrieval systems can then try to find as many of the images with respect to the topic as possible based on visual features only or based on visual and textual features. ...
doi:10.1007/11519645_62
fatcat:6kcyeh6aune2zlyc46tbgwzeuy
Web Image Re-Ranking UsingQuery-Specific Semantic Signatures
2014
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Given a query keyword, a pool of images are first retrieved based on textual information. ...
By asking the user to select a query image from the pool, the remaining images are re-ranked based on their visual similarities with the query image. ...
The visual features of images are projected into their related semantic spaces automatically learned through keyword expansions offline. ...
doi:10.1109/tpami.2013.214
pmid:26353202
fatcat:uohsjl4h6jegfcnyr7nr26rtly
Content-based multimedia indexing and retrieval
2002
IEEE Multimedia
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Video databases now base their retrieval systems on manual high-level features (based on a thesaurus), although a few are experimenting with low-level features in indexing and retrieval software as adjuncts ...
a concept composed of query features and instances (relevant clips or images). ...
doi:10.1109/mmul.2002.998047
fatcat:nyiwgh3qfbfmtokezrji4jdq7i
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