Integrated multimedia understanding for ubiquitous intelligence based on mental image directed semantic theory

被引:0
|
作者
Yokota, M [1 ]
Capi, G [1 ]
机构
[1] Fukuoka Inst Technol, Dept Syst Management, Fac Informat Engn, Higashi Ku, Fukuoka 8110295, Japan
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An ideal ubiquitous computing environment can be a network system of such intelligent and human-friendly robots that never appear in front of humans except when needed. In this paper the distributed intelligent robot network (DIRN) is proposed as one kind of wireless sensor and actor networks (WSAN) consisting of one brain node and numerous sensor and actor nodes with human-friendly interfaces. In order to realize well-coordinated DIRNs, it is very important to develop a systematically computable knowledge representation language universal for any kind of device as well as efficient networking technologies. As a candidate for this purpose, the multimedia description language L-md was evaluated by applying it to simulation of DIRN-world interaction.
引用
收藏
页码:538 / 546
页数:9
相关论文
共 50 条
  • [41] Context-based global multi-class semantic image segmentation by wireless multimedia sensor networks
    Wei, Chen
    Jiang, Xiaorong
    Tang, Zhibo
    Qian, Wang
    Fan, Na
    ARTIFICIAL INTELLIGENCE REVIEW, 2015, 43 (04) : 579 - 591
  • [42] ROBOT-DIRECTED SPEECH DETECTION USING MULTIMODAL SEMANTIC CONFIDENCE BASED ON SPEECH, IMAGE, AND MOTION
    Zuo, Xiang
    Iwahashi, Naoto
    Taguchi, Ryo
    Matsuda, Shigeki
    Sugiura, Komei
    Funakoshi, Kotaro
    Nakano, Mikio
    Oka, Natsuki
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 2458 - 2461
  • [43] A Study on College English Integrated Reading Course Based on CBI Theory under Multimedia Environment
    Guan, Xiaowei
    2011 INTERNATIONAL CONFERENCE ON COMPUTER APPLICATION AND EDUCATION TECHNOLOGY (ICCAET 2011), 2011, : 186 - 189
  • [44] Understanding User's Intention in Semantic Based Image Retrieval: Combining Positive and Negative Examples
    Korichi, Meriem
    Kherfi, Mohamed Lamine
    Batouche, Mohamed
    Kaoudja, Zineb
    Bencheikh, Hadjer
    COMPUTATIONAL INTELLIGENCE AND ITS APPLICATIONS, 2018, 522 : 66 - 77
  • [45] A Novel Multimedia Human-Computer Interaction (HCI) System based on Kinect and Depth Image Understanding
    Xu, Zhiqiang
    Qiu, Xuejun
    He, Jialiang
    2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 3, 2015, : 270 - 275
  • [46] Understanding the Continuance Intention for Artificial Intelligence News Anchor: Based on the Expectation Confirmation Theory
    Huang, Yuke
    Yu, Zhiyuan
    SYSTEMS, 2023, 11 (09):
  • [47] Artificial Intelligence Recognition Simulation of 3D Multimedia Visual Image Based on Sparse Representation Algorithm
    Chen, Weixiao
    IEEE ACCESS, 2020, 8 : 121437 - 121450
  • [48] Fostering understanding of multimedia messages through pre-training: Evidence for a two-stage theory of mental model construction
    Mayer, RE
    Mathias, A
    Wetzell, K
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2002, 8 (03) : 147 - 154
  • [49] EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
    Al-Shargie, Fares Mohammed
    Hassanin, Omnia
    Tariq, Usman
    Al-Nashash, Hasan
    IEEE ACCESS, 2020, 8 : 115941 - 115956
  • [50] Deep Learning-based Adaptive Semantic Coding for Image Transmission in Satellite-Integrated Internet
    Yuan, Guangwei
    Jiao, Jian
    Zhang, Heqing
    Zhang, Ke
    Wang, Ye
    Zhang, Qinyu
    2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC, 2024,