Providing highly efficient underwater transmission of mass multimedia data is challenging due to the particularities of the underwater environment. Although there are many schemes proposed to optimize the underwater a...Providing highly efficient underwater transmission of mass multimedia data is challenging due to the particularities of the underwater environment. Although there are many schemes proposed to optimize the underwater acoustic network communication protocols, from physical layer, data link layer, network layer to transport layer, the existing routing protocols for underwater wireless sensor network(UWSN) still cannot well deal with the problems in transmitting multimedia data because of the difficulties involved in high energy consumption, low transmission reliability or high transmission delay. It prevents us from applying underwater multimedia data to real-time monitoring of marine environment in practical application, especially in emergency search, rescue operation and military field. Therefore, the inefficient transmission of marine multimedia data has become a serious problem that needs to be solved urgently. In this paper, A Layered Load Balance Routing Protocol(L2-LBMT) is proposed for underwater multimedia data transmission. In L2-LBMT, we use layered and load-balance Ad Hoc Network to transmit data, and adopt segmented data reliable transfer(SDRT) protocol to improve the data transport reliability. And a 3-node variant of tornado(3-VT) code is also combined with the Ad Hoc Network to transmit little emergency data more quickly. The simulation results show that the proposed protocol can balance energy consumption of each node, effectively prolong the network lifetime and reduce transmission delay of marine multimedia data.展开更多
The requirements of data coding in multimedia applications are presented, the current technique of coding and relative standards is introduced, then the work that have been doing is presented, i.e. the wavelet-based c...The requirements of data coding in multimedia applications are presented, the current technique of coding and relative standards is introduced, then the work that have been doing is presented, i.e. the wavelet-based coding method and the VE (Visual Entropy)-based coding method. The experiment results prove that these methods have gained a better perceptual quality of a reconstructed image and a lower bit rate. Their performance evaluations are better than JPEG (Joint Photographic Experts Group) coding. Finally, the future topics of study are put forward.展开更多
An approach to implementing the multimedia database system NHMDB based on NF2(Non-First-Normal-Form) data model is presented. This approach is easily implemented because NF2 structure can efficiently store various med...An approach to implementing the multimedia database system NHMDB based on NF2(Non-First-Normal-Form) data model is presented. This approach is easily implemented because NF2 structure can efficiently store various media data such as formatted data, text,graphics, image and voice. The main idea is to expand conceptual schema to maintain the consistency of tbreelevel schema in system NHMDB. We developed, implemented and experimented the storage structure and the multimedia data representation by an object identifier.implementation techniques are also discussed.展开更多
Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteris...Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges. We conclude this paper with a discussion of open problems and future directions.展开更多
电信运营商拥有大规模的语音用户数,但是随着OTT(Over The Top)业务的广泛使用,给运营商基础语音业务受到了冲击,每用户通话时长(Minutes Of Usage,MOU)持续降低且收入逐年下降。5G增强通话是基于5G的新一代通话产品,提供超高清、智能...电信运营商拥有大规模的语音用户数,但是随着OTT(Over The Top)业务的广泛使用,给运营商基础语音业务受到了冲击,每用户通话时长(Minutes Of Usage,MOU)持续降低且收入逐年下降。5G增强通话是基于5G的新一代通话产品,提供超高清、智能化、全交互三大能力,以期增加用户黏性并为基础通话业务带来新的潜在增长空间。介绍5G增强通话的业务类型和发展现状,然后从建设原则、网络架构、数据通道信令功能(Data Channel Signaling Function,DCSF)网元建设方案、资源池建设方案、网络安全及可靠性等方面探讨5G增强通话控制面网元DCSF的建设实施方案。展开更多
With the rapid growth of scientific paper data,intelligent fine-grained document classification techniques can significantly benefit paper retrieval and recommendation.Previous works on paper classification focused on...With the rapid growth of scientific paper data,intelligent fine-grained document classification techniques can significantly benefit paper retrieval and recommendation.Previous works on paper classification focused on texts and were coarse-grained.The high sample similarity within subdivided fields makes fine-grained classification more challenging.Given the implicit semantic relationship between abstracts and figures in academic papers,current multimodal methods designed to process explicitly related textual and visual data are inadequate for addressing the fine-grained multimodal paper classification task.Additionally,discrepancies in data distribution and dataset limitations frequently result in overfitting when pretrained models are transferred to paper classification tasks.In this work,we propose a multimodal regularization ensemble network for fine-grained paper classification.Our model focuses on the differentiation of intra-modality feature representations and the enhancement of inter-modality related information for the task.Comparative analysis with baseline methods highlights the efficiency of our proposed model.Finally,we developed a paper classification system based on our model that is capable of classifying,managing,and recommending academic papers.展开更多
自适应最高有效位预测(adaptive most significant bit prediction,AMP)是当前实现加密域可逆信息隐藏的一种重要算法。通过比较分块内首像素与其余像素,提取出公共最高有效位并用于像素预测,可节省空间嵌入秘密信息。然而,分块内首像...自适应最高有效位预测(adaptive most significant bit prediction,AMP)是当前实现加密域可逆信息隐藏的一种重要算法。通过比较分块内首像素与其余像素,提取出公共最高有效位并用于像素预测,可节省空间嵌入秘密信息。然而,分块内首像素与其他像素差异较大,会制约嵌入容量。为解决这个问题,本文将分块内嵌入数据时没有变化的像素聚集,构建为虚拟像素块。通过对虚拟像素块再次执行AMP算法,实现对当前方案嵌入容量的提升。为进一步增加虚拟像素块的数量,本文提出一种填充策略。以22的像素块为例,在分块嵌入容量足够大时,通过填充固定比特位增加像素相关性,使得嵌入过程中前两个像素保持不变,这样全部可用来构建虚拟块。因为填充策略构建T字段并提出新的32 bits像素结构,该结构能够提升像素相关性从而提升嵌入容量。通过在真实世界数据集上开展实验,结果表明本文所提算法相比当前的主流AMP算法,能够在保证可逆的前提下大幅提高嵌入容量。展开更多
基金supported by the National Natural Science Foundation of China (No.61401413)the Digital Home Industry Cluster Oriented Technology Service Innovation Pilot Project in 2015
文摘Providing highly efficient underwater transmission of mass multimedia data is challenging due to the particularities of the underwater environment. Although there are many schemes proposed to optimize the underwater acoustic network communication protocols, from physical layer, data link layer, network layer to transport layer, the existing routing protocols for underwater wireless sensor network(UWSN) still cannot well deal with the problems in transmitting multimedia data because of the difficulties involved in high energy consumption, low transmission reliability or high transmission delay. It prevents us from applying underwater multimedia data to real-time monitoring of marine environment in practical application, especially in emergency search, rescue operation and military field. Therefore, the inefficient transmission of marine multimedia data has become a serious problem that needs to be solved urgently. In this paper, A Layered Load Balance Routing Protocol(L2-LBMT) is proposed for underwater multimedia data transmission. In L2-LBMT, we use layered and load-balance Ad Hoc Network to transmit data, and adopt segmented data reliable transfer(SDRT) protocol to improve the data transport reliability. And a 3-node variant of tornado(3-VT) code is also combined with the Ad Hoc Network to transmit little emergency data more quickly. The simulation results show that the proposed protocol can balance energy consumption of each node, effectively prolong the network lifetime and reduce transmission delay of marine multimedia data.
文摘The requirements of data coding in multimedia applications are presented, the current technique of coding and relative standards is introduced, then the work that have been doing is presented, i.e. the wavelet-based coding method and the VE (Visual Entropy)-based coding method. The experiment results prove that these methods have gained a better perceptual quality of a reconstructed image and a lower bit rate. Their performance evaluations are better than JPEG (Joint Photographic Experts Group) coding. Finally, the future topics of study are put forward.
文摘An approach to implementing the multimedia database system NHMDB based on NF2(Non-First-Normal-Form) data model is presented. This approach is easily implemented because NF2 structure can efficiently store various media data such as formatted data, text,graphics, image and voice. The main idea is to expand conceptual schema to maintain the consistency of tbreelevel schema in system NHMDB. We developed, implemented and experimented the storage structure and the multimedia data representation by an object identifier.implementation techniques are also discussed.
基金supported in part by the Na tional Natural Science Foundation of China (NO. 61401004, 61271233, 60972038)Plan of introduction and cultivation of university leading talents in Anhui (No.gxfxZ D2016013)+3 种基金the Natural Science Foundation of the Higher Education Institutions of Anhui Province, China (No. KJ2010B357)Startup Project of Anhui Normal University Doctor ScientificResearch (No.2016XJJ129)the US Nation al Science Foundation under grants CNS1702957 and ACI-1642133the Wireless Engineering Research and Education Center at Auburn University
文摘Multimedia big data brings tremendous challenges as well as opportunities for multimedia applications/services. In this paper, we present a survey and tutorial for multimedia big data. After discussing the characteristics of multimedia big data such as human-centricity, multimodality, heterogeneity, unprecedented volume, and so on, this paper provides an overview of the state-of-the-art of multimedia big data, reviews the latest related technologies, and discusses the technical challenges. We conclude this paper with a discussion of open problems and future directions.
文摘电信运营商拥有大规模的语音用户数,但是随着OTT(Over The Top)业务的广泛使用,给运营商基础语音业务受到了冲击,每用户通话时长(Minutes Of Usage,MOU)持续降低且收入逐年下降。5G增强通话是基于5G的新一代通话产品,提供超高清、智能化、全交互三大能力,以期增加用户黏性并为基础通话业务带来新的潜在增长空间。介绍5G增强通话的业务类型和发展现状,然后从建设原则、网络架构、数据通道信令功能(Data Channel Signaling Function,DCSF)网元建设方案、资源池建设方案、网络安全及可靠性等方面探讨5G增强通话控制面网元DCSF的建设实施方案。
基金supported by the BUPT innovation and entrepreneurship support program(2022-YC-S002)We also thank the National Key R&D Program of China(2022YFB3605601).
文摘With the rapid growth of scientific paper data,intelligent fine-grained document classification techniques can significantly benefit paper retrieval and recommendation.Previous works on paper classification focused on texts and were coarse-grained.The high sample similarity within subdivided fields makes fine-grained classification more challenging.Given the implicit semantic relationship between abstracts and figures in academic papers,current multimodal methods designed to process explicitly related textual and visual data are inadequate for addressing the fine-grained multimodal paper classification task.Additionally,discrepancies in data distribution and dataset limitations frequently result in overfitting when pretrained models are transferred to paper classification tasks.In this work,we propose a multimodal regularization ensemble network for fine-grained paper classification.Our model focuses on the differentiation of intra-modality feature representations and the enhancement of inter-modality related information for the task.Comparative analysis with baseline methods highlights the efficiency of our proposed model.Finally,we developed a paper classification system based on our model that is capable of classifying,managing,and recommending academic papers.
文摘自适应最高有效位预测(adaptive most significant bit prediction,AMP)是当前实现加密域可逆信息隐藏的一种重要算法。通过比较分块内首像素与其余像素,提取出公共最高有效位并用于像素预测,可节省空间嵌入秘密信息。然而,分块内首像素与其他像素差异较大,会制约嵌入容量。为解决这个问题,本文将分块内嵌入数据时没有变化的像素聚集,构建为虚拟像素块。通过对虚拟像素块再次执行AMP算法,实现对当前方案嵌入容量的提升。为进一步增加虚拟像素块的数量,本文提出一种填充策略。以22的像素块为例,在分块嵌入容量足够大时,通过填充固定比特位增加像素相关性,使得嵌入过程中前两个像素保持不变,这样全部可用来构建虚拟块。因为填充策略构建T字段并提出新的32 bits像素结构,该结构能够提升像素相关性从而提升嵌入容量。通过在真实世界数据集上开展实验,结果表明本文所提算法相比当前的主流AMP算法,能够在保证可逆的前提下大幅提高嵌入容量。
