Image annotation with Photocopain

Photo annotation is a resource-intensive task, yet is increasingly essential as image archives and personal photo collections grow in size. There is an inherent conflict in the process of describing and archiving personal experiences, because casual users are generally unwilling to expend large amounts of effort on creating the annotations which are required to organise their collections so that they can make best use of them. This paper describes the Photocopain system, a semi-automatic image annotation system which combines information about the context in which a photograph was captured with information from other readily available sources in order to generate outline annotations for that photograph that the user may further extend or amend

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Economic Trends in Enterprise Search Solutions

Enterprise search technology retrieves information within organizations. This data can be proprietary and public, its access to it may be restricted or not. Enterprise search solutions render business processes more efficient particularly in data-intensive companies. This technology is key to increasing the competitiveness of the digital economy; thus it constitutes a strategic market for the European Union. The Enterprise Search Solution (ESS) market was worth close to one billion USD in 2008 and is expected to grow quicker than the overall market for information and knowledge management systems. Optimistic market forecasts expect market size to exceed 1,200 million USD by the end of 2010. Other market analyses see the growth rate slowing down and stabilizing at around 10% a year in 2010. Even in the least favourable case, enterprise search remains an attractive market, particularly because of the opportunities expected to arise from the convergence of ESS and Information Systems. This report looks at the demand and supply side of ESS and provides data about the market. It presents the evolution of market dynamics over the past decade and describes the current situation. Our main thesis is that ESS is currently placed at the point where two established markets, namely web search and the management of information systems, overlap. The report offers evidence that these two markets are converging and discusses the role of the different stakeholders (providers of web search engines, enterprise resource management tools, pure enterprise search tools, etc.) in this changing context.JRC.DDG.J.4-Information Societ

LifeLogging: personal big data

We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment. This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety of tasks. This review aims to provide a comprehensive summary of lifelogging, to cover its research history, current technologies, and applications. Thus far, most of the lifelogging research has focused predominantly on visual lifelogging in order to capture life details of life activities, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses to an information retrieval scientist. This review is a suitable reference for those seeking a information retrieval scientist’s perspective on lifelogging and the quantified self

IAPMA 2011: 2nd Workshop on information access to personal media archives

Towards e-Memories: challenges of capturing, summarising, presenting, understanding, using, and retrieving relevant information from heterogeneous data contained in personal media archives. Welcome to IAPMA 2011, the second international workshop on "Information Access for Personal Media Archives". It is now possible to archive much of our life experiences in digital form using a variety of sources, e.g. blogs written, tweets made, social network status updates, photographs taken, videos seen, music heard, physiological monitoring, locations visited and environmentally sensed data of those places, details of people met, etc. Information can be captured from a myriad of personal information devices including desktop computers, PDAs, digital cameras, video and audio recorders, and various sensors, including GPS, Bluetooth, and biometric devices

Using Textual Emotion Extraction in Context-Aware Computing

In 2016, the number of global smartphone users will surpass 2 billion. The common owner uses about 27 apps monthly. On average, users of SwiftKey, an alternative Android software keyboard, type approximately 1800 characters a day. Still, all of the user-generated data of these apps is, for the most part, unused by the owner itself. To change this, we conducted research in Context-Aware Computing, Natural Language Processing and Affective Computing. The goal was to create an environment for recording this non-used contextual data without losing its historical context and to create an algorithm that is able to extract emotions from text. Therefore, we are introducing Emotext, a textual emotion extraction algorithm that uses conceptnet5’s realworld knowledge for word-interpretation, as well as Cofra, a framework for recording contextual data with time-based versioning