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Hypercube based interview prediction for multi-view video coding
Title
Hypercube based interview prediction for multi-view video coding.
Creator
Furht, Borko, Kalva, Hari
Date Issued
2005-10
PURL
http://purl.flvc.org/fcla/dt/358175
Subject Headings
MPEG (Video coding standard)
Format
Document (PDF)
A improved video codec supporting error resilience and resource adaptation
Title
A improved video codec supporting error resilience and resource adaptation.
Creator
Furht, Borko, Sanigepalli, Praveen, Kalva, Hari
Date Issued
2005-01-8 - 2005-01-12
PURL
http://purl.flvc.org/fcla/dt/351015
Subject Headings
MPEG (Video coding standard), Digital video., Mobile communication systems.
Format
Document (PDF)
Complexity reduction tools for MPEG-2 to H.264 video transcoding
Title
Complexity reduction tools for MPEG-2 to H.264 video transcoding.
Creator
Furht, Borko, Kalva, Hari, Petljanski, Branko
PURL
http://purl.flvc.org/fcla/dt/332412
Subject Headings
Digital video., Video recording --Standards., MPEG (Video coding standard)., Digital communications.
Format
Document (PDF)
Evaluation of 3DTV service using asymmetirc view coding based in MPEG-2
Title
Evaluation of 3DTV service using asymmetirc view coding based in MPEG-2.
Creator
Furht, Borko, Kalva, Hari, Christodoulou, Lakis
Abstract/Description
This paper presents the results of the 3DTV quality evaluation on autostereoscopic displays using asymmetric view coding. Asymmetric view coding encodes the stereo views with different quality. It has been shown that the human visual system is able to compensate for this asymmetric view quality and present a good quality 3D video. Asymmetric video coding can be exploited to reduce the bandwidth requirements for 3DTV services. The key factors that affect the asymmetric video coding are the...
Show moreThis paper presents the results of the 3DTV quality evaluation on autostereoscopic displays using asymmetric view coding. Asymmetric view coding encodes the stereo views with different quality. It has been shown that the human visual system is able to compensate for this asymmetric view quality and present a good quality 3D video. Asymmetric video coding can be exploited to reduce the bandwidth requirements for 3DTV services. The key factors that affect the asymmetric video coding are the compression algorithms, the human visual system, and the 3D display.
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Date Issued
2007-05-07 - 2007-05-09
PURL
http://purl.flvc.org/fcla/dt/358266
Subject Headings
MPEG (Video coding standard), Three-dimensional display systems., Video compression., Digital video.
Format
Document (PDF)
Methods and Algorithms for Human Detection in Video Sequences
Title
Methods and Algorithms for Human Detection in Video Sequences.
Creator
Pertuz, Carlos, Marques, Oge, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Lower prices of video sensors, security concerns and the need for better and faster algorithms to extract high level information from video sequences are all factors which have stimulated research in the area of automated video surveillance systems. In the context of security the analysis of human interrelations and their environment provides hints to proactively identify anomalous behavior. However, human detection is a necessary component in systems where the automatic extraction of higher...
Show moreLower prices of video sensors, security concerns and the need for better and faster algorithms to extract high level information from video sequences are all factors which have stimulated research in the area of automated video surveillance systems. In the context of security the analysis of human interrelations and their environment provides hints to proactively identify anomalous behavior. However, human detection is a necessary component in systems where the automatic extraction of higher level information, such as recognizing individuals' activities, is required. The human detection problem is one of classification. In general, motion, appearance and shape are the classification approaches a system can employ to perform human detection. Techniques representative of these approaches, such us periodic motion detection, skin color detection and MPEG-7 shape descriptors are implemented in this work. An infrastructure that allows data collection for such techniques was also implemented.
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Date Issued
2007
PURL
http://purl.flvc.org/fau/fd/FA00012538
Subject Headings
MPEG (Video coding standard), Image processing--Digital techniques, Form perception, Computer algorithms, Video compression
Format
Document (PDF)
Video transcoding using machine learning
Title
Video transcoding using machine learning.
Creator
Holder, Christopher., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The field of Video Transcoding has been evolving throughout the past ten years. The need for transcoding of video files has greatly increased because of the new upcoming standards which are incompatible with old ones. This thesis takes the method of using machine learning for video transcoding mode decisions and discusses ways to improve the process of generating the algorithm for implementation in different video transcoders. The transcoding methods used decrease the complexity in the mode...
Show moreThe field of Video Transcoding has been evolving throughout the past ten years. The need for transcoding of video files has greatly increased because of the new upcoming standards which are incompatible with old ones. This thesis takes the method of using machine learning for video transcoding mode decisions and discusses ways to improve the process of generating the algorithm for implementation in different video transcoders. The transcoding methods used decrease the complexity in the mode decision inside the video encoder. Also methods which automate and improve results are discussed and implemented in two different sets of transcoders: H.263 to VP6 , and MPEG-2 to H.264. Both of these transcoders have shown a complexity loss of almost 50%. Video transcoding is important because the quantity of video standards have been increasing while devices usually can only decode one specific codec.
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Date Issued
2008
PURL
http://purl.flvc.org/FAU/166451
Subject Headings
Coding theory, Image transmission, Technological innovations, File conversion (Computer science), Data structures (Computer science), MPEG (Video coding standard), Digital media, Video compression
Format
Document (PDF)