Mulsemedia data consolidation method

Rvach Dmytro, Yevgeniya Sulema
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引用次数: 0

Abstract

The synchronization of multimodal data is one of the essential tasks related to mulse-media data processing. The concept of mulsemedia (MULtiple SEnsorial MEDIA) involves the registration, storage, processing, transmission and reproduction by computer-based tools of multimodal information about a physical object that humans can perceive through their senses. Such information includes audiovisual information (object's appearance, acoustic properties, etc.), tactile information (surface texture, temperature), kinesthetic information (weight, object's centre of gravity), information about its taste, smell, etc. The perception of mulsemedia information by a person is the process that exists over time. Because of this, the registration of mulsemedia data should be carried out with the fixation of the moments of time when the relevant mulsemedia information existed or its perception made sense for a human who supervises the object as mulsemedia data is temporal. This paper presents a method that enables the consolidation and synchronization of mulsemedia data using the principles of multithreading. The universal method was designed to support combining data of different modalities in parallel threads. The application of the proposed method solves problems associated with integrating data of different modalities and formats in the same time interval. The effectiveness of applying this method increases by us-ing multithreaded distributed computing. This method is designed for use in the development of mulsemedia software systems. The modified JSON format (TJSON – Timeline JSON) was proposed in the paper, as well. TJSON-object is a complex data structure for representing the synchronized mulsemedia data and their further processing. The proposed method can be further extended with other approaches and technologies. For example, artificial intelligence methods can be applied to assess the correlation between data from different modalities. This can help improve the method's accuracy and the output files' quality.
多媒体数据整合方法
多模态数据的同步是多媒体数据处理的基本任务之一。多媒体(multisensorial MEDIA)的概念涉及到通过基于计算机的工具对人类可以通过感官感知的物理对象的多模态信息进行登记、存储、处理、传输和复制。这些信息包括视听信息(物体的外观、声学特性等)、触觉信息(表面纹理、温度)、动觉信息(重量、物体的重心)、味道、气味等信息。一个人对多媒体信息的感知是一个长期存在的过程。因此,由于多媒体数据是暂时的,因此在进行多媒体数据的注册时,应该固定相关多媒体信息存在的时刻,或者对监控对象的人来说其感知是有意义的时刻。本文提出了一种利用多线程原理实现多媒体数据整合和同步的方法。通用方法旨在支持在并行线程中组合不同模态的数据。该方法的应用解决了在同一时间间隔内整合不同模式和格式数据的问题。采用多线程分布式计算,提高了应用该方法的有效性。这种方法是为多媒体软件系统的开发而设计的。本文还提出了修改后的JSON格式(TJSON - Timeline JSON)。TJSON-object是一种复杂的数据结构,用于表示同步多媒体数据及其进一步处理。该方法可以与其他方法和技术进一步扩展。例如,人工智能方法可以用于评估来自不同模态的数据之间的相关性。这有助于提高方法的准确性和输出文件的质量。
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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