Multimedia big data computing for in-depth event analysis

While the most part of ”big data” systems target text-based analytics, multimedia data, which makes up about 2/3 of internet traffic, provide unprecedented opportunities for understanding and responding to real world situations and challenges. Multimedia Big Data Computing is the new topic that focus on all aspects of distributed computing systems that enable massive scale image and video analytics. During the course of this paper we describe BPEM (Big Picture Event Monitor), a Multimedia Big Data Computing framework that operates over streams of digital photos generated by online communities, and enables monitoring the relationship between real world events and social media user reaction in real-time. As a case example, the paper examines publicly available social media data that relate to the Mobile World Congress 2014 that has been harvested and analyzed using the described system.Peer ReviewedPostprint (author's final draft

Faculty Excellence

Each year, the University of New Hampshire selects a small number of its outstanding faculty for special recognition of their achievements in teaching, scholarship and service. Awards for Excellence in Teaching are given in each college and school, and university-wide awards recognize public service, research, teaching and engagement. This booklet details the year\u27s award winners\u27 accomplishments in short profiles with photographs and text

Truth, Beauty, Freedom, and Money: Technology-Based Art and the Dynamics of Sustainability

Proposes innovative new approaches and models for art and technology institutions, and provides details for an "Arts Lab," a unique hybrid art center and research lab

Sherlock: Scalable Fact Learning in Images

We study scalable and uniform understanding of facts in images. Existing visual recognition systems are typically modeled differently for each fact type such as objects, actions, and interactions. We propose a setting where all these facts can be modeled simultaneously with a capacity to understand unbounded number of facts in a structured way. The training data comes as structured facts in images, including (1) objects (e.g., $$), (2) attributes (e.g.,$$), (3) actions (e.g., $$), and (4) interactions (e.g.,$$). Each fact has a semantic language view (e.g., $$) and a visual view (an image with this fact). We show that learning visual facts in a structured way enables not only a uniform but also generalizable visual understanding. We propose and investigate recent and strong approaches from the multiview learning literature and also introduce two learning representation models as potential baselines. We applied the investigated methods on several datasets that we augmented with structured facts and a large scale dataset of more than 202,000 facts and 814,000 images. Our experiments show the advantage of relating facts by the structure by the proposed models compared to the designed baselines on bidirectional fact retrieval.Comment: Jan 7 Updat

Network strategies for the new economy

In this paper we argue that the pace and scale of development in the information and communication technology industries (ICT) has had and continues to have major effects on the industry economics and competitive dynamics generally. We maintain that the size of changes in demand and supply conditions is forcing companies to make significant changes in the way they conceive and implement their strategies. We decompose the ICT industries into four levels, technology standards, supply chains, physical platforms, and consumer networks. The nature of these technologies and their cost characteristics coupled with higher degrees of knowledge specialisation is impelling companies to radical revisions of their attitudes towards cooperation and co-evolution with suppliers and customers. Where interdependencies between customers are particularly strong, we anticipate the possibility of winner-takes-all strategies. In these circumstances industry risks become very high and there will be significant consequences for competitive markets

New Developments in Practice III: Riding the Wave: Extracting Value from Mobile Technology

New mobile devices, combined with content digitization, promise the creation of a vast global network that will have enormous and far-reaching impacts on how we work and live. Who will benefit from this technology, where its real opportunities lie, and how it will impact our organizations and our personal lives is not yet clear. We know that changes will occur and that these impacts will likely vary by firm, industry, and segment of society. What we don\u27t know is how and when these changes will happen. This uncertainty leaves business with the challenge of navigating between the opportunities presented by the new capabilities offered by mobile technology and the risks of being in the wrong place at the wrong time as their business ecosystem alters. This paper is a tutorial for both the IS practitioner and the IS academic. It presents the issues faced in applying wireless technology in business and suggests areas in which research might be fruitful. It concludes that mobile computing is a new and unstable technology that potentially can change much about how organizations work. However, the uncertainty surrounding mobile computing can make decision-making a challenge for many senior executives who would like to see a clear business case for their investment. Unfortunately, this goal is not always possible. Instead, executives must learn to recognize a variety of options for the future and manage these effectively and dynamically while keeping a close eye on the value proposition

Spartan Daily November 9, 2009

Volume 133, Issue 37https://scholarworks.sjsu.edu/spartandaily/1304/thumbnail.jp

Is There a Way for Old Industrial Districts to Become Attractive for Cultural Industry? The Case of Media Businesses in Halle (Saale), Germany

manufacturing have collapsed are trying to stimulate entrepreneurial activities of businesses in the cultural industry. The question is whether this strategy could be successful. This article examines the strategy of supporting the sector of Media Industry (´MI´) by policy makers in the region of Halle in East Germany, where a strong de-industrialization has taken place after the German reunification. Stimulated by the policy makers’ support measures, there actually was a remarkable development of MI. However, the number of MI firms and their employees did not further increase in recent years, after having reached a certain level. This illustrates the limits of political measures for turning a city’s path of industrial development voluntarily.media industry, cultural industry, business development, urban development, location factors