增强三维自相关梯度特征在深度动作分类中的性能

IF 3.6 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Multimedia Information Retrieval Pub Date : 2022-01-16 DOI:10.1007/s13735-021-00226-1

Mohammad Farhad Bulbul, S. Islam, Zannatul Azme, Preksha Pareek, Md. Humaun Kabir, Hazrat Ali

引用次数: 1

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhancing the performance of 3D auto-correlation gradient features in depth action classification

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来源期刊

International Journal of Multimedia Information Retrieval Multiple-

CiteScore

7.80

自引率

5.40%

发文量

期刊介绍： Aims and Scope The International Journal of Multimedia Information Retrieval (IJMIR) is a scholarly archival journal publishing original, peer-reviewed research contributions. Its editorial board strives to present the most important research results in areas within the field of multimedia information retrieval. Core areas include exploration, search, and mining in general collections of multimedia consisting of information from the WWW to scientific imaging to personal archives. Comprehensive review and survey papers that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant. Relevant topics include Image and video retrieval - theory, algorithms, and systems Social media interaction and retrieval - collaborative filtering, social voting and ranking Music and audio retrieval - theory, algorithms, and systems Scientific and Bio-imaging - MRI, X-ray, ultrasound imaging analysis and retrieval Semantic learning - visual concept detection, object recognition, and tag learning Exploration of media archives - browsing, experiential computing Interfaces - multimedia exploration, visualization, query and retrieval Multimedia mining - life logs, WWW media mining, pervasive media analysis Interactive search - interactive learning and relevance feedback in multimedia retrieval Distributed and high performance media search - efficient and very large scale search Applications - preserving cultural heritage, 3D graphics models, etc. Editorial Policies: We aim for a fast decision time (less than 4 months for the initial decision) There are no page charges in IJMIR. Papers are published on line in advance of print publication. Academic, industrial researchers, and practitioners involved with multimedia search, exploration, and mining will find IJMIR to be an essential source for important results in the field.