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Journal ArticleDOI

Nrityakosha: Preserving the intangible heritage of Indian classical dance

TLDR
The efficacy of the ontology-based approach is demonstrated by constructing an ontology for the cultural heritage domain of Indian classical dance, and a browsing application is developed for semantic access to the heritage collection of Indian dance videos.
Abstract
Preservation of intangible cultural heritage, such as music and dance, requires encoding of background knowledge together with digitized records of the performances. We present an ontology-based approach for designing a cultural heritage repository for that purpose. Since dance and music are recorded in multimedia format, we use Multimedia Web Ontology Language (MOWL) to encode the domain knowledge. We propose an architectural framework that includes a method to construct the ontology with a labeled set of training data and use of the ontology to automatically annotate new instances of digital heritage artifacts. The annotations enable creation of a semantic navigation environment in a cultural heritage repository. We have demonstrated the efficacy of our approach by constructing an ontology for the cultural heritage domain of Indian classical dance, and have developed a browsing application for semantic access to the heritage collection of Indian dance videos.

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Citations
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Proceedings ArticleDOI

Deep Learning Based Hand Detection in Cluttered Environment Using Skin Segmentation

TL;DR: A two-stage deep learning based approach is presented to detect hands robustly in unconstrained scenarios and a convolutional neural network (CNN) based skin detection technique is proposed which reduces occurrences of false positives significantly.
Book ChapterDOI

Intangible Cultural Heritage and New Technologies: Challenges and Opportunities for Cultural Preservation and Development

TL;DR: This chapter examines resources, projects and technologies providing access to ICH and identifies gaps and constraints and covers the state of the art in technologies that could be employed for access, capture and analysis of ICH in order to highlight how specific new technologies can contribute to the transmission and safeguarding of I CH.
Journal ArticleDOI

Towards a conceptual foundation for documenting tangible and intangible elements of a cultural object

TL;DR: This article analyses the concept of intangible/tangible heritage from a documentation perspective, investigating the theoretical framework developed within the various branches of the cultural heritage studies and providing a clear perspective, as well as an alignment, of the various approaches and requirements.
Journal ArticleDOI

An annales school-based serious game creation framework for taiwanese indigenous cultural heritage

TL;DR: It is verified that integrating the cross-disciplinary methods of anthropologists, history teachers, tribal elders, and game designers to establish instructional goals and design foci for game development and to create a cultural heritage serious game-creation framework warrants further study and effort.
Journal ArticleDOI

MOWL: An ontology representation language for web-based multimedia applications

TL;DR: A new perceptual modeling technique for reasoning with media properties observed in multimedia instances and the latent concepts is proposed, and a probabilistic reasoning scheme for belief propagation across domain concepts through observation of media properties is introduced.
References
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Journal ArticleDOI

Distinctive Image Features from Scale-Invariant Keypoints

TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI

A Tutorial on Support Vector Machines for Pattern Recognition

TL;DR: There are several arguments which support the observed high accuracy of SVMs, which are reviewed and numerous examples and proofs of most of the key theorems are given.
Journal ArticleDOI

Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

TL;DR: A novel unsupervised learning method for human action categories that can recognize and localize multiple actions in long and complex video sequences containing multiple motions.
Proceedings Article

Mel frequency cepstral coefficients for music modeling

Beth Logan
TL;DR: The results show that the use of the Mel scale for modeling music is at least not harmful for this problem, although further experimentation is needed to verify that this is the optimal scale in the general case and whether this transform is valid for music spectra.
Trending Questions (1)
How to preserve coltural dance?

Preserve cultural dance by encoding knowledge and digitized records using an ontology-based approach, like the Nrityakosha project for Indian classical dance, enabling semantic navigation in a heritage repository.