[PDF] Top 20 1. Visual analytics for semantic based image retrieval (sbir): semantic tool
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1. Visual analytics for semantic based image retrieval (sbir): semantic tool
... the Visual Analytics Tool for Semantic Retrieval (VATSR) is proposed which allows user to visually interact and refine the query and/or search ...relevant image missed out in one ... See full document
13
Hybrid Shape Based Image Retrieval-Performance Improvement Using Parallel Processing
... the image and division of image into blocks yields accurate results for PHOG than applying the algorithm without preprocessing the ...the image retrieval takes time due to just one thread ... See full document
6
A Novel Framework design for Semantic based Image retrieval as a Cyber Forensic Tool
... huge image data, it becomes a big issue to obtain image evidence to prosecute the criminal, most of the evidence is available in the form of raw ...digital image information to identify direct ... See full document
8
Semantic-Based Image Retrieval by Visual Analytics Using Ranking Algorithm
... useful. Semantic- based image retrieval (SBIR) is a retrieval technique based on the intuition of user most SBIR algorithms is explain and retrieved images are ... See full document
8
A Comprehensive Survey On Various Semantic Based Video/Image Retrieval Techniques
... different visual highlights; Second, introductory labelling: in sight of the conventional term recurrence—reverse record recurrence model is proposed and third, is the label refinement: it proposed the multi-data, ... See full document
12
A Text Based Video Retrieval Using Semantic and Visual Approach
... text based video retrieval namely visual and semantic ...other retrieval methods in terms of average precision and ...1000 image database takes 5-6 ...and retrieval ... See full document
6
Remotely sensed image retrieval based on region-level semantic mining
... of visual information is more comprehensible for users than pixel-level image ...high-level semantic feature mining methods are based on pixel-level ...sensed image database by approxi- ... See full document
11
A Literature Review of Image Retrieval based On Semantic Concept
... between visual features and textual words on an unsupervised basis, by estimating the joint distribution of features and words and posing annotation as statistical inference in a graphical ...example image ... See full document
8
Affective graphs: the visual appeal of linked data
... well-known semantic web tools that have ex- isted over the past few years: mSpace [70], Power- Aqua [51], K-Search [8], ..., Semantic Crystal, NLP Reduce, Gin- seng and Querix ...(e.g. Semantic ... See full document
36
Combining Low-Level Features for Semantic Extraction in Image Retrieval
... describe semantic objects in ...convey semantic mean- ...represent semantic concepts has been addressed for years in pattern ...were based on local interest point detectors and descriptors ... See full document
12
Semantic Indexing based Remote Sensing Image Retrieval: An Intelligent Decomposition Approach
... sensed image prolongs to grow at a vast rate ...of image data per day when it is completely operational [17]. Based on sensor type, active information systems permit formulating only easy queries ... See full document
11
Bridging the Semantic Gap in Content Based Image Retrieval
... an image and applies to the visual patterns that have properties of homogeneity independent of a single color or ...intensity. 1 Commonly, standard analysis tools, such as wavelets, Gabor, or ... See full document
14
A Linear Algebraic Technique with an Application in Semantic Image Retrieval
... the same recall can be interpreted as saying that more relevant images are re- trieved with the factorisation algorithm for the same number of images retrieved as with the machine learning approach. This result even ... See full document
10
The Reality of the Semantic Gap in Image Retrieval
... raw image through descriptors to extraction of objects, labels and any required semantics fully ...the semantic gap starts at the descriptors and goes all the way up to the ...an image but the ... See full document
89
Improved Markovian Model for Annotation Based Image Retrieval using Multiple and Synonymous Keywords
... internet image retrieval system (similar to Google image search) wherever users rummage around for pictures by submitting queries that are product of ... See full document
9
Surveying the reality of semantic image retrieval
... of semantic image ...still image, a taxonomy for which is presented as a framework within which to show examples of real ‘semantic’ requests and the textual metadata by which such requests ... See full document
12
A Novel Image Retrieval Approach for Semantic Web
... an image is not equivalent to how an computer system visualize ...the image is simply a resource with some specific hyper-link ...giving semantic to a web image page so a system can understand ... See full document
5
Towards A Welsh Semantic Annotation System
... semantic tagger to identify and annotate a large amount of MWE variants using a moderate-sized MWE lexicon. Next, the part-of-speech module is a software wrapper for external POS taggers. It is a program component ... See full document
6
Clustering based Online Image retrieval using Markovian Semantic Indexing
... IJEDR1401213 International Journal of Engineering Development and Research (www.ijedr.org) 1195 The proposed distance is well defined since it is a generalized euclidean distance function, using a covariance matrix, ... See full document
5
Cognitive Explanation of “Away” within the Framework of Semantic Schema
... the semantic extensions of particles: The foreign researchers mainly focused on theoretical aspects, while the Chinese scholars paid more attention to classroom ...particles based on spoken English ... See full document
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