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.

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

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.

Scalable algorithms for height field illumination

Global illumination algorithms are at the center of realistic image synthesis and account for non-trivial light transport and occlusion within scenes, such as indirect illumination, ambient occlusion, and environment lighting. Their computationally most difficult part is determining light source visibility at each visible scene point. Height fields, on the other hand, constitute an important special case of geometry and are mainly used to describe certain types of objects such as terrains and to map detailed geometry onto object surfaces. The geometry of an entire scene can also be approximated by treating the distance values of its camera projection as a screen-space height field. In order to shadow height fields from environment lights a horizon map is usually used to occlude incident light. We reduce the per-receiver time complexity of generating the horizon map on N N height fields from O(N) of the previous work to O(1) by using an algorithm that incrementally traverses the height field and reuses the information already gathered along the path of traversal. We also propose an accurate method to integrate the incident light within the limits given by the horizon map. Indirect illumination in height fields requires information about which other points are visible to each height field point. We present an algorithm to determine this intervisibility in a time complexity that matches the space complexity of the produced visibility information, which is in contrast to previous methods which scale in the height field size. As a result the amount of computation is reduced by two orders of magnitude in common use cases. Screen-space ambient obscurance methods approximate ambient obscurance from the depth bu er geometry and have been widely adopted by contemporary real-time applications. They work by sampling the screen-space geometry around each receiver point but have been previously limited to near- field effects because sampling a large radius quickly exceeds the render time budget. We present an algorithm that reduces the quadratic per-pixel complexity of previous methods to a linear complexity by line sweeping over the depth bu er and maintaining an internal representation of the processed geometry from which occluders can be efficiently queried. Another algorithm is presented to determine ambient obscurance from the entire depth bu er at each screen pixel. The algorithm scans the depth bu er in a quick pre-pass and locates important features in it, which are then used to evaluate the ambient obscurance integral accurately. We also propose an evaluation of the integral such that results within a few percent of the ray traced screen-space reference are obtained at real-time render times.

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