Fillia Makedon – författare

Electronic Multimedia Publishing brings together in one place important contributions and up-to-date research results in this fast moving area. Electronic Mulitmedia Publishing serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Electronic Multimedia Publishing brings together in one place important contributions and up-to-date research results in this fast moving area. Electronic Mulitmedia Publishing serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Multimedia is changing the design of database and information retrieval systems. The accumulation of audio, image, and video content is of little use in these systems if the content cannot be retrieved on demand, a critical requirement that has led to the development of new technologies for the analysis and indexing of media data. In turn, these technologies seek to derive information or features from a data type that can facilitate rapid retrieval, efficient compression, and logical presentation of the data. Significant work that has not been addressed, however, is the benefits of analyzing more than one data type simultaneously. This text presents a framework for the simultaneous analysis of multiple media data objects. The primary benefit of this analysis is computed synchronization, a temporal and spatial alignment of multiple media objects. There is also a presentation of several specific applications and a general structure for the solution of computed synchronization problems. The applications demonstrate the use of this structure.Two applications in particular are described in detail: the alignment of text to speech audio, and the alignment of simultaneous English language translations of ancient texts. Many additional applications are discussed as future uses of the technology.

Multimedia is changing the design of database and information retrieval systems. The accumulation of audio, image, and video content is of little use in these systems if the content cannot be retrieved on demand, a critical requirement that has led to the development of new technologies for the analysis and indexing of media data. In turn, these technologies seek to derive information or features from a data type that can facilitate rapid retrieval, efficient compression, and logical presentation of the data. Significant work that has not been addressed, however, is the benefits of analyzing more than one data type simultaneously. Computed Synchronization for Multimedia Applications presents a new framework for the simultaneous analysis of multiple media data objects. The primary benefit of this analysis is computed synchronization, a temporal and spatial alignment of multiple media objects. Computed Synchronization for Multimedia Applications also presents several specific applications and a general structure for the solution of computed synchronization problems. The applications demonstrate the use of this structure. Two applications in particular are described in detail: the alignment of text to speech audio, and the alignment of simultaneous English language translations of ancient texts. Many additional applications are discussed as future uses of the technology. Computed Synchronization for Multimedia Applications is useful to researchers, students, and developers seeking to apply computed synchronization in many fields. It is also suitable as a reference for a graduate-level course in multimedia data retrieval.

Multimedia is changing the design of database and information retrieval systems. The accumulation of audio, image, and video content is of little use in these systems if the content cannot be retrieved on demand, a critical requirement that has led to the development of new technologies for the analysis and indexing of media data. In turn, these technologies seek to derive information or features from a data type that can facilitate rapid retrieval, efficient compression, and logical presentation of the data. Significant work that has not been addressed, however, is the benefits of analyzing more than one data type simultaneously. Computed Synchronization for Multimedia Applications presents a new framework for the simultaneous analysis of multiple media data objects. The primary benefit of this analysis is computed synchronization, a temporal and spatial alignment of multiple media objects. Computed Synchronization for Multimedia Applications also presents several specific applications and a general structure for the solution of computed synchronization problems. The applications demonstrate the use of this structure. Two applications in particular are described in detail: the alignment of text to speech audio, and the alignment of simultaneous English language translations of ancient texts. Many additional applications are discussed as future uses of the technology. Computed Synchronization for Multimedia Applications is useful to researchers, students, and developers seeking to apply computed synchronization in many fields. It is also suitable as a reference for a graduate-level course in multimedia data retrieval.

Electronic Multimedia Publishing brings together in one place important contributions and up-to-date research results in this fast moving area. Electronic Mulitmedia Publishing serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

This book constitutes the refereed proceedings of the 19th International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2026, held in Crete, Greece, during July 12–15, 2026.The 72 full papers and 23 short papers included in this volume were carefully reviewed and selected from 106 submissions.The papers are organized in the following topical sections:Part I: Human Affect, Physiology, and Biosignal Analysis; Intelligent Interactive Systems, Simulation, and Applied AI; Human-Centered Robotics, Mobility, and Interaction; Language, Learning, and Robust Recognition Systems; Accessible AI and Assistive Technologies; Accessibility Tools, Methods and Applications; Cognitive, Ethical, and Social Dimensions of Interactive Systems; Posters.Part II: Advancing Smart Mirrors to Early Detect and Monitor Cancer Late-Effects through an Ethical and Participatory Approach (MAYA-Mirror); The 8th Workshop on Pervasive Intelligence in Engineering (PerInt); Robust Applied Intelligent Assistive Systems for Society & Enterprise (RAISE); Robotics and Physical AI for Physical and Cognitive Assistance (RAP-PAC); Smart Workers in Industry 5.0 — Human-Centric Assistance and Work Planning (SWI5); Immersive XR, AI, and Multimodal Sensing for Cognitiveand Functional Assessment (XR4CA); Generative AI and Large Language Models in Assistive Technologies (GenAssist).

This book constitutes the refereed proceedings of the 19th International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2026, held in Crete, Greece, during July 12–15, 2026.The 72 full papers and 23 short papers included in this volume were carefully reviewed and selected from 106 submissions.The papers are organized in the following topical sections:Part I: Human Affect, Physiology, and Biosignal Analysis; Intelligent Interactive Systems, Simulation, and Applied AI; Human-Centered Robotics, Mobility, and Interaction; Language, Learning, and Robust Recognition Systems; Accessible AI and Assistive Technologies; Accessibility Tools, Methods and Applications; Cognitive, Ethical, and Social Dimensions of Interactive Systems; Posters.Part II: Advancing Smart Mirrors to Early Detect and Monitor Cancer Late-Effects through an Ethical and Participatory Approach (MAYA-Mirror); The 8th Workshop on Pervasive Intelligence in Engineering (PerInt); Robust Applied Intelligent Assistive Systems for Society & Enterprise (RAISE); Robotics and Physical AI for Physical and Cognitive Assistance (RAP-PAC); Smart Workers in Industry 5.0 — Human-Centric Assistance and Work Planning (SWI5); Immersive XR, AI, and Multimodal Sensing for Cognitiveand Functional Assessment (XR4CA); Generative AI and Large Language Models in Assistive Technologies (GenAssist).