Features for Art Painting Classification based on Vector Quantization
painting classification based on MPEG-7 descriptors is presented in this paper. The MPEG-7 .... that the art movements of paintings can be indexed by exploiting the following six measures: .... images is extracted, which is used as learning set.
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The Classification of Style in Fine-Art Painting - Seidenberg School
processing, machine learning, and computer vision to solve problems of the attribution ... art paintings is generally classifiable with semantically-relevant features. Previous ... representation of Saint Lucy, computer approaches to style based on content are not .... required to display the image and the image index records the.
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Interdisciplinary Research to Advance Digital Imagery Indexing and
Index Terms - Content-based image retrieval, image clas-. *. The URL http://wang .ist.psu.edu ... puter vision, machine learning, wavelets, Asian art, cultural heritages. 1. ... paintings and calligraphies, become available, this project will extend to ...
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Deep Image Retrieval: Learning global representations for image
Apr 5, 2016 ... approaches based on global descriptors on standard datasets. It even surpasses most prior works based on costly local descriptor indexing ...
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Large-scale Classification of Fine-Art Paintings: Learning The Right
May 5, 2015 ... Learning The Right Metric on The Right Feature .... sification. Lower dimensionality of the features is preferred for indexing large image collections. ... paintings based on their style, genre and the artist who made it. In the first ...
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Chronological classification of ancient paintings using appearance
Jul 23, 2014 ... We then encode these features with deep learning in an unsupervised .... groups of paintings and based on the color features, painting .....  O. Icoglu, B. Gunsel , S. Sariel, Classification and indexing of paintings based on.
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Time and order estimation of paintings based on visual - PrintART
paintings far or close to each other according to a measure of similarity. .... we propose an approach based on metric learning and Maximum Variance Unfolding. ..... Firschein, O., and Wei, S. X., Content-Based Image Indexing and Searching.
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Challenges in Content-Based Image Indexing of Cultural Heritage
Jun 16, 2015 ... Challenges in Content-Based Image Indexing of Cultural. Heritage Collections .... any kind of cultural heritage artifact such as paintings, coins, tapestry, manuscript, etc. .... This arises challenging learning problems, since we ...
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A Picture Is Worth a Thousand Words: Metadata for Art Objects and
Categories for the Description of Works of Art and Other Metadata Schemas for Art and Material .... The Quest for Images on the Web: A Renaissance for Subject- based Indexing? As we have seen ..... They are also learning another lesson: that ...
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Content-based Multimedia Information Retrieval: State of the Art and
learning, semantic queries, new features and media types, high performance ... retrieval, image databases, multimedia indexing, human-computer interaction ..... based on line direction-length which works effectively on a set of art paintings.
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Functional Semantic Categories for Art History Text:
... for Art History Text: Human Labeling and Preliminary Machine Learning *. 1 ... Based on our pilot work, we implemented a labeling interface that ... semantic categories that are relevant for indexing images of artworks. The tagging would be ...
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1. INTRODUCTION - ERCIM
paintings, sculptures, and other works of art and fragile hand-written records in ...... Wang, J. Z. and J. Li, “Learning-based linguistic indexing of pictures with 2-D ...
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Functional Semantic Categories for Art History Text - Carnegie
... for Art History Text: Human Labeling and Preliminary Machine Learning * ... Based on our pilot work, we implemented a labeling interface ... into functional semantic categories that are relevant for indexing images of artworks. The tagging ...
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Learning Rich Semantics from News Video Archives by Style Analysis
Follow this and additional works at: http://repository.cmu.edu/compsci. This Article is .... indexing by focusing on one specific technique from film art only. ... tic video indexing has recently shifted to machine learning based approaches, e.g..
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Ontology learning: state of the art and open issues | SpringerLink
Mar 24, 2007 ... Ontology learning: state of the art and open issues .... SWOOGLE  is a crawler -based indexing and retrieval system for the semantic Web, housing several ..... Because it works!, Intelligent Systems, IEEE 19 (2004) 74–81.
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Researching Your Art - Smithsonian American Art Museum
Many printed and online resources can help you investigate your artwork. The best place .... the base of the sculpture or another inconspicuous place. ... For nineteenth century and earlier works, search the Smithsonian American Art. Museum's online Pre-1877 Art Exhibition Catalogue Index --a list of 950 exhibitions.
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Learning to rank for automatic MeSH indexing - NCBI
respectively. We find that our results compare favorably to the state of the art ... apply a learning-to-rank algorithm to sort the candidate MeSH terms based on the.
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Learning of Personal Visual Impression for Image Database Systems
provides a content based data operation is one of ... are used not only as the visual index of the image data but also as the element ... paintings. We have developed three learning algo- rithms which refer the small set of user-given exam- ples.
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Natural language processing: State of the art and prospects for
We summarize the current state of the art in biomedical natural language processing. ... in developing effective tools based on NLP, such as automatic indexing at the .... The primary NLP successes were based on supervised learning which ...
[ 1-s2.0-S1532046413000798-main.pdf?_tid=a89d0fe6-49e4-11e4-af58-00000aacb361&acdnat=1412220896_9990d69fc1b07ad4b178c5507328939d - Read/Download File
Chapter 3: Automated Metadata Extraction from Art Images
understanding of the art masterpiece is the process of learning not only of .... Traditional text-based indexing uses controlled vocabulary or natural language to .... of colour and shape of paintings stored in a database [Kato, 1992]. Since.
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