Copresence video conference mediated interaction

Abstract

A simple culture system for time-lapse video recording of bovine embryos

Selostus: Yksinkertainen viljelymenetelmä naudan alkioiden aikaviivenauhoitusta varten

Web 2.0 technology assisted global knowledge network as an organizations key asset

Aim of the Thesis is to study and understand the theoretical concept of Metanational corporation and understand how the Web 2.0 technologies can be used to support the theory. Empiric part of the study compares the theory to the case company’s current situation Goal of theoretical framework is to show how the Web 2.0 technologies can be used in the three levels of the Metanational corporation. In order to do this, knowledge management and more accurately knowledge transferring is studied to understand what is needed from the Web 2.0 technologies in the different functions and operations of the Metanational corporation. Final synthesis of the theoretical framework is to present a model where the Web 2.0 technologies are placed on the levels of the Metanational corporation. Empirical part of the study is based on interviews made in the case company. Aim of the interviews is to understand the current state of the company related to the theoretical framework. Based on the interviews, the differences between the theoretical concept and the case company are presented and studied. Finally the study presents the found problem areas, and where the adoption of the Web 2.0 tools is seen as beneficiary, based on the interviews and theoretical framework.

Power of Photos and Video in Education

Konferenssiesitelmä: PHOTOGRAPHY NEXT International Conference at Moderna museet and Nordiska Museet, Stockholm, 4-5 February, 2010

Poptähden muotokuva. Myytit, arkkityypit ja Michael Jacksonin video Smooth Criminal (1988)

Tämä tutkielma käsittelee poptähti Michael Jacksonin tähtikuvaa populaarina myyttinä arkkityyppien näkökulmasta. Tutkimus käsittelee myös tähteyden historiaa ja siirtymää klassisesta Hollywood -tähteydestä postmoderniin tähteyteen. Tutkimus pyrkii selvittämään Jacksonin positiota kulttuurisella tähtikentällä ja sitä, mitä uutta rajatilasankarin, initiaation ja tricksterin arkkityypit voivat kertoa tunnetusta poptähdestä. Tutkimusaineistoksi on valittu Jacksonin Moonwalker –elokuva (1988) ja sen sisällä oleva Smooth Criminal -osio, joka sisältää juonellisen tarinan ja musiikkivideokohtauksen. Smooth Criminal -musiikkikohtaus viittaa kulta-ajan Hollywood -tähden Fred Astairen Band Wagon –musikaalin (1953) Girl Hunt Ballet -musikaalinumeroon. Tutkimuksen kulttuurihistoriallisessa osiossa tuodaan vertailuun Astairen ja Jacksonin erilaiset tähteydet, videoiden narratiivit ja sankaruudet, joita tähdet ilmentävät narratiiveissa. Arkkityyppeihin keskittyvässä osiossa sama Smooth Criminal -narratiivi luetaan uudestaan näiden kolmen arkkityypin kautta, jolloin Jacksonin tähtikuvasta avautuu uusia aspekteja. Tutkimuksen teoreettisen rungon muodostavat sveitsiläisen analyyttisen psykologian perustajan Carl Gustav Jungin teoria arkkityypeistä ja tätä teoriaa soveltava postjungilainen tutkimus. Tutkimuksen kulttuurihistoriallinen puoli pohjaa perinteiseen tähtitutkimukseen ja erityisesti Richard Dyerin sekä Edgar Morinin teoksiin. Käytän postjungilaista elokuva- ja tähtitutkimusta tutkimuksessani, joista tärkeimpiä ovat John Izodin ja Luke Hockleyn teokset. Tutkimuksen perusteella voidaan todeta, että tähteys on kulttuurisidonnaista ja ilmentää omaa aikaansa. Astairen tähteys ja narratiivin sankaruus koostuu muutamista pelkistetyistä aspekteista. Jackson on tähtenä eräänlainen hybridisankari, jossa yhdistyvät monet vastakkaiset merkitykset. Rajatilasankarin, initiaation ja tricksterin arkkityypit ovat kaikki löydettävissä tutkinnan kohteena olevasta narratiivista. Arkkityyppien kautta voi nähdä, että Jacksonin ilmensi tähteydessään myös näitä kaikille ihmisille yhteisiä psyykkisiä sisältöjä, mikä voi osaltaan selittää hänen globaalia suosiotaan.

Mobile learning and video experience in delivering digital content

In recent years, the worldwide distribution of smartphone devices has been growing rapidly. Mobile technologies are evolving fast, a situation which provides new possibilities for mobile learning applications. Along with new delivery methods, this development enables new concepts for learning. This study focuses on the effectiveness and experience of a mobile learning video promoting the key features of a specific device. Through relevant learning theories, mobile technologies and empirical findings, the thesis presents the key elements for a mobile learning video that are essential for effective learning. This study also explores how previous experience with mobile services and knowledge of a mobile handset relate to final learning results. Moreover, this study discusses the optimal delivery mechanisms for a mobile video. The target group for the study consists of twenty employees of a Sanoma Company. The main findings show that the individual experience of learning and the actual learning results may differ and that the design for certain video elements, such as sound and the presentation of technical features, can have an impact on the experience and effectiveness of a mobile learning video. Moreover, a video delivery method based on cloud technologies and HTML5 is suggested to be used in parallel with standalone applications.

Video transcoding in a distributed cloud computing environment

Video transcoding refers to the process of converting a digital video from one format into another format. It is a compute-intensive operation. Therefore, transcoding of a large number of simultaneous video streams requires a large amount of computing resources. Moreover, to handle di erent load conditions in a cost-e cient manner, the video transcoding service should be dynamically scalable. Infrastructure as a Service Clouds currently offer computing resources, such as virtual machines, under the pay-per-use business model. Thus the IaaS Clouds can be leveraged to provide a coste cient, dynamically scalable video transcoding service. To use computing resources e ciently in a cloud computing environment, cost-e cient virtual machine provisioning is required to avoid overutilization and under-utilization of virtual machines. This thesis presents proactive virtual machine resource allocation and de-allocation algorithms for video transcoding in cloud computing. Since users' requests for videos may change at di erent times, a check is required to see if the current computing resources are adequate for the video requests. Therefore, the work on admission control is also provided. In addition to admission control, temporal resolution reduction is used to avoid jitters in a video. Furthermore, in a cloud computing environment such as Amazon EC2, the computing resources are more expensive as compared with the storage resources. Therefore, to avoid repetition of transcoding operations, a transcoded video needs to be stored for a certain time. To store all videos for the same amount of time is also not cost-e cient because popular transcoded videos have high access rate while unpopular transcoded videos are rarely accessed. This thesis provides a cost-e cient computation and storage trade-o strategy, which stores videos in the video repository as long as it is cost-e cient to store them. This thesis also proposes video segmentation strategies for bit rate reduction and spatial resolution reduction video transcoding. The evaluation of proposed strategies is performed using a message passing interface based video transcoder, which uses a coarse-grain parallel processing approach where video is segmented at group of pictures level.

Local Features in Image and Video Processing - Object Class Matching and Video Shot Detection

The usage of digital content, such as video clips and images, has increased dramatically during the last decade. Local image features have been applied increasingly in various image and video retrieval applications. This thesis evaluates local features and applies them to image and video processing tasks. The results of the study show that 1) the performance of different local feature detector and descriptor methods vary significantly in object class matching, 2) local features can be applied in image alignment with superior results against the state-of-the-art, 3) the local feature based shot boundary detection method produces promising results, and 4) the local feature based hierarchical video summarization method shows promising new new research direction. In conclusion, this thesis presents the local features as a powerful tool in many applications and the imminent future work should concentrate on improving the quality of the local features.

Avalon Media System project update: a Hydra solution for digital audio and video access

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Audio and Video Repositories at Scale: Indiana University’s Media Digitization and Preservation Initiative

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014