Abstract
The ever-growing capabilities of computers have enabled pursuing Computer Vision through Machine Learning (i.e., MLCV). ML tools require large amounts of information to learn from (ML datasets). These are costly to produce but have received reduced attention regarding standardization. This prevents the cooperative production and exploitation of these resources, impedes countless synergies, and hinders ML research. No global view exists of the MLCV dataset tissue. Acquiring it is fundamental to enable standardization. We provide an extensive survey of the evolution and current state of MLCV datasets (1994 to 2019) for a set of specific CV areas as well as a quantitative and qualitative analysis of the results. Data were gathered from online scientific databases (e.g., Google Scholar, CiteSeerX). We reveal the heterogeneous plethora that comprises the MLCV dataset tissue; their continuous growth in volume and complexity; the specificities of the evolution of their media and metadata components regarding a range of aspects; and that MLCV progress requires the construction of a global standardized (structuring, manipulating, and sharing) MLCV "library". Accordingly, we formulate a novel interpretation of this dataset collective as a global tissue of synthetic cognitive visual memories and define the immediately necessary steps to advance its standardization and integration.

Abstract
The FotoInMotion (FiM) project is building a novel media creation platform, leveraging the use of semi-automated analysis and editing tools to empower creators to easily transform static visual acquisitions of real-world events into rich, animated and engaging objects, distributable through common channels. FiM transforms the content creative chain into an integrated pipeline across which media and metadata seamlessly flow and are exploited to produce more complex media objects. One of the addressed challenges consists the need for a seamless and efficient communication across such pipeline and on how to preserve, in a structured manner, all of the involved media and metadata. Existing standardized metadata tools and content wrappers are limited in expressivity and scope and incapable of fully supporting the needs of the content creative pipeline. This paper describes FiM's new structured data object, i.e. the Digital Event (DE), which acts as a universal vehicle for media and metadata. It builds on well-established and emergent MPEG standards (MPEG-21, MPEG-V, MPEG-7 and MPEG HEIF), to support data diversity, interoperability, packaging and sharing, within complex, Machine Learning enhanced, creative pipelines. Our solution has been validated by creative professionals (photojournalism, fashion marketing and festivals), who have conducted experiments within the context of different creative workflows in real world scenarios. DE's employment revealed to be advantageous, particularly in the homogenization of the media and metadata representation and packaging and in the normalization of the interaction between different pipeline components.

Abstract
MPEG-21 is a multimedia framework well suited for asset management of broadcast content. Especially for television broadcasters, MPEG-21 has been applied as asset management standard within the Digital Broadcast Item Model (DBIM). Within the scope of this paper, the DBIM is adopted to the needs of the IST IP ENTHRONE 2. ENTHRONE 2 devotes to the Quality of Service (QoS) management from content creation to content consumption over heterogeneous networks. This paper integrates the QoS metadata management issues from ENTHRONE 2 into the DBIM. This paper describes an MPEG-21 based metadata management solution for maintaining service quality throughout a heterogeneous network environment. It provides a metadata model based on the DBIM especially focusing on the needs of ENTHRONE 2.

Abstract
The production, distribution and consumption of information goods have evolved through continuous disruptions. Presently, these activities are being disrupted by the Internet and digital technology revolutions, which challenge established practices. P2P content diffusion is playing a key role in this process. This technology has frequently been regarded as intrinsically "ill-purposed", but this view is changing and it has begun to see some commercial use, even if timid and fraught with obstacles. In this article, we analyze the present use of P2P technologies in content diffusion. Based on previously developed work, we identify the economic root of the present problems and discuss possible solutions. Finally, we describe a possible P2P architecture, currently being implemented, that could be used to support the alternative business models needed to fully exploit Internet's potential and deliver content to the users in friendly way. © 2011 IEEE.

Abstract

Abstract
Foreseeing a future where IPv6 and mobile terminals play an important role in public access communication networks, this article introduces a monitoring system capable of identifying relevant traffic flows and tracking them while terminal equipment moves between network attachment points. The mobile flows are characterized and represented so that individual users and flows can perceive the quality of service they receive, and operators can have global traffic views of their heterogeneous access networks.