The Experts below are selected from a list of 24024 Experts worldwide ranked by ideXlab platform

T. Tsuji - One of the best experts on this subject based on the ideXlab platform.

  • Multimedia Data access based on the sensitivity factors
    Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789), 2000
    Co-Authors: T. Hochin, K. Yamada, T. Tsuji
    Abstract:

    The paper clarifies that the main factors of sensitivity work well for accessing Multimedia Data. The main factors of sensitivity are the fundamental factors of human sensitivity. These are obtained by applying the factor analysis of the scores put to Multimedia Data for impression words. Five main factors are obtained for pictures, and four for sounds. Three main factors of sensitivity are in common for pictures and sounds. Substituting the feature values of Multimedia Data, which are called sensitivity measures, for the factor scores enables a lot of Multimedia Data to be retrieved through the impression words such as beautiful and fresh. Moreover, the sounds corresponding to a picture can be obtained by evaluating whether the sensitivity measures of sounds are similar to those of the picture. This function is called mixed-media navigation. A prototype system is constructed and evaluated. The evaluation results show that the prototype system can retrieve suitable Multimedia Data.

Tao Ye - One of the best experts on this subject based on the ideXlab platform.

  • ICSAI - Design of multicast protocol for underwater Multimedia Data transmission
    2016 3rd International Conference on Systems and Informatics (ICSAI), 2016
    Co-Authors: Lv Ze, Tang Ruichun, Tao Ye
    Abstract:

    In this paper, we investigate the Multimedia Data transmission in underwater sensor networks. With the development of underwater sensor networks, a large number of marine Multimedia Data, including audio, image and video, has been generated, which brings great pressure to the underwater sensor network. Although the researchers have optimized the underwater protocol in physical layer, Data link layer, network layer and transport layer to improve the network bandwidth. The existing underwater routing protocols still cannot well solve the problems such as high energy consumption, low transmission reliability, high transmission delay, etc. Then a novel protocol is presented in this paper to achieve efficient Multimedia Data transfer in underwater sensor network scenarios, called load balanced routing protocol (LBRP). LBRP is essentially a hybrid approach of LBMRP and SDRT. It adopts the concept of network stratification, transferring Multimedia Data packets block by block and layer by layer. Simulation results show that the proposed LBRP can balance energy consumption of each node, effectively prolong the network lifetime and reduce transmission delay of marine Multimedia Data.

  • Design of multicast protocol for underwater Multimedia Data transmission
    2016 3rd International Conference on Systems and Informatics (ICSAI), 2016
    Co-Authors: Lv Ze, Tang Ruichun, Tao Ye
    Abstract:

    In this paper, we investigate the Multimedia Data transmission in underwater sensor networks. With the development of underwater sensor networks, a large number of marine Multimedia Data, including audio, image and video, has been generated, which brings great pressure to the underwater sensor network. Although the researchers have optimized the underwater protocol in physical layer, Data link layer, network layer and transport layer to improve the network bandwidth. The existing underwater routing protocols still cannot well solve the problems such as high energy consumption, low transmission reliability, high transmission delay, etc. Then a novel protocol is presented in this paper to achieve efficient Multimedia Data transfer in underwater sensor network scenarios, called load balanced routing protocol (LBRP). LBRP is essentially a hybrid approach of LBMRP and SDRT. It adopts the concept of network stratification, transferring Multimedia Data packets block by block and layer by layer. Simulation results show that the proposed LBRP can balance energy consumption of each node, effectively prolong the network lifetime and reduce transmission delay of marine Multimedia Data.

T. Hochin - One of the best experts on this subject based on the ideXlab platform.

  • IDEAS - Tatsuo Tsuji: Multimedia Data Access Based on the Sensitivity Factors
    2000
    Co-Authors: T. Hochin, K. Yamada
    Abstract:

    The paper clarifies that the main factors of sensitivity work well for accessing Multimedia Data. The main factors of sensitivity are the fundamental factors of human sensitivity. These are obtained by applying the factor analysis of the scores put to Multimedia Data for impression words. Five main factors are obtained for pictures, and four for sounds. Three main factors of sensitivity are in common for pictures and sounds. Substituting the feature values of Multimedia Data, which are called sensitivity measures, for the factor scores enables a lot of Multimedia Data to be retrieved through the impression words such as beautiful and fresh. Moreover, the sounds corresponding to a picture can be obtained by evaluating whether the sensitivity measures of sounds are similar to those of the picture. This function is called mixed-media navigation. A prototype system is constructed and evaluated. The evaluation results show that the prototype system can retrieve suitable Multimedia Data.

  • Multimedia Data access based on the sensitivity factors
    Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789), 2000
    Co-Authors: T. Hochin, K. Yamada, T. Tsuji
    Abstract:

    The paper clarifies that the main factors of sensitivity work well for accessing Multimedia Data. The main factors of sensitivity are the fundamental factors of human sensitivity. These are obtained by applying the factor analysis of the scores put to Multimedia Data for impression words. Five main factors are obtained for pictures, and four for sounds. Three main factors of sensitivity are in common for pictures and sounds. Substituting the feature values of Multimedia Data, which are called sensitivity measures, for the factor scores enables a lot of Multimedia Data to be retrieved through the impression words such as beautiful and fresh. Moreover, the sounds corresponding to a picture can be obtained by evaluating whether the sensitivity measures of sounds are similar to those of the picture. This function is called mixed-media navigation. A prototype system is constructed and evaluated. The evaluation results show that the prototype system can retrieve suitable Multimedia Data.

E. Ferrari - One of the best experts on this subject based on the ideXlab platform.

  • Temporal synchronization models for Multimedia Data
    IEEE Transactions on Knowledge and Data Engineering, 1998
    Co-Authors: E. Bertino, E. Ferrari
    Abstract:

    Multimedia information systems are considerably more complex than traditional ones in that they deal with very heterogeneous Data such as text, video, and audio-characterized by different characteristics and requirements. One of the central characteristics of Multimedia Data is that of being heavily time-dependent, in that they are usually related by temporal relationships that must be maintained during playout. We discuss problems related to modeling temporal synchronization specifications for Multimedia Data. We investigate the characteristics that a model must possess to properly express the timing relationships among Multimedia Data, and we provide a classification for the various models proposed in the literature. For each devised category, several examples are presented, whereas the most representative models of each category are illustrated in detail. Then, the presented models are compared with respect to the devised requirements, and future research issues are discussed.

K. Yamada - One of the best experts on this subject based on the ideXlab platform.

  • IDEAS - Tatsuo Tsuji: Multimedia Data Access Based on the Sensitivity Factors
    2000
    Co-Authors: T. Hochin, K. Yamada
    Abstract:

    The paper clarifies that the main factors of sensitivity work well for accessing Multimedia Data. The main factors of sensitivity are the fundamental factors of human sensitivity. These are obtained by applying the factor analysis of the scores put to Multimedia Data for impression words. Five main factors are obtained for pictures, and four for sounds. Three main factors of sensitivity are in common for pictures and sounds. Substituting the feature values of Multimedia Data, which are called sensitivity measures, for the factor scores enables a lot of Multimedia Data to be retrieved through the impression words such as beautiful and fresh. Moreover, the sounds corresponding to a picture can be obtained by evaluating whether the sensitivity measures of sounds are similar to those of the picture. This function is called mixed-media navigation. A prototype system is constructed and evaluated. The evaluation results show that the prototype system can retrieve suitable Multimedia Data.

  • Multimedia Data access based on the sensitivity factors
    Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789), 2000
    Co-Authors: T. Hochin, K. Yamada, T. Tsuji
    Abstract:

    The paper clarifies that the main factors of sensitivity work well for accessing Multimedia Data. The main factors of sensitivity are the fundamental factors of human sensitivity. These are obtained by applying the factor analysis of the scores put to Multimedia Data for impression words. Five main factors are obtained for pictures, and four for sounds. Three main factors of sensitivity are in common for pictures and sounds. Substituting the feature values of Multimedia Data, which are called sensitivity measures, for the factor scores enables a lot of Multimedia Data to be retrieved through the impression words such as beautiful and fresh. Moreover, the sounds corresponding to a picture can be obtained by evaluating whether the sensitivity measures of sounds are similar to those of the picture. This function is called mixed-media navigation. A prototype system is constructed and evaluated. The evaluation results show that the prototype system can retrieve suitable Multimedia Data.