Multimedia systems.

There is now more data being created than ever before and this data can be any
form of data, textual, multimedia, spatial etc. To process this data, several big data
processing platforms have been developed including Hadoop, based on the MapReduce
model and LexisNexis’ HPCC systems.
In this thesis we evaluate the HPCC Systems framework with a special interest in
multimedia data analysis and propose a framework for multimedia data processing.
It is important to note that multimedia data encompasses a wide variety of data including
but not limited to image data, video data, audio data and even textual data. While
developing a unified framework for such wide variety of data, we have to consider
computational complexity in dealing with the data. Preliminary results show that HPCC
can potentially reduce the computational complexity significantly.

In the past few years, violence detection has become an increasingly rele-
vant topic in computer vision with many proposed solutions by researchers. This
thesis proposes a solution called Criminal Aggression Recognition Engine (CARE),
an OpenCV based Java implementation of a violence detection system that can be
trained with video datasets to classify action in a live feed as non-violent or violent.
The algorithm extends existing work on fast ght detection by implementing violence
detection of live video, in addition to prerecorded video. The results for violence
detection in prerecorded videos are comparable to other popular detection systems
and the results for live video are also very encouraging, making the work proposed in
this thesis a solid foundation for improved live violence detection systems.

With data throughput for mobile devices constantly increasing, services such as video broadcast and multicast are becoming feasible. The 3GPP (3rd Generation Partnership Project) committee is currently working on a standard for mobile broadcast and multicast services (MBMS). MBMS is expected to enable easier deployment of video and multimedia services on 3G networks. We present an overview of the standard including the proposed architecture and requirements focusing on radio aspects. We discuss the issue of video error resilience in such services that is critical to maintain consistent quality for terminals. The error resilience techniques currently used in video streamingservices are not suitable for MBMS services. We analyze the error resilience techniques that are applicable within the context of MBMS standard and present our early research in this area.