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Title: A patent application for the invention of a method and apparatus for multi-view video coding.
Creator: Furht, Borko, Kalva, Hari
Date Issued: 2005-09-15
PURL: http://purl.flvc.org/fcla/dt/363494
Subject Headings: Digital video., Technology --Patents., Video compression.
Format: Document (PDF)

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)

Title: A method and apparatus for multi-view video coding.
Creator: Furht, Borko, Kalva, Hari
PURL: http://purl.flvc.org/fcla/dt/332895
Subject Headings: Digital video.
Format: Document (PDF)

Title: Perceptual Video Coding.
Creator: Adzic, Velibor, Kalva, Hari, Graduate College
Abstract/Description: We are presenting work that is aimed at employing characteristics of human visual system in optimizing video coding compression. Preliminary experiments that include temporal and motion masking show results with significant savings in bitrate compared to state of the art coding algorithms.
Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00005799
Format: Document (PDF)

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)

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)

Title: Application of video error resilience techniques for mobile broadcast multicast services (MBMS).
Creator: Furht, Borko, Praveenkumar, Sanigepalli, Kalva, Hari
Abstract/Description: 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...
Show moreWith 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.
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Date Issued: 2004-12-13 - 2004-12-15
PURL: http://purl.flvc.org/fcla/dt/347823
Subject Headings: Multimedia systems., Broadcasting --Technological innovations., Wireless communication systems., Multimedia communications.
Format: Document (PDF)

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)

Title: Video identification using video tomography.
Creator: Furht, Borko, Kalva, Hari, Leon, Gustavo, Yellamraju, Sivakiran
Date Issued: 2009
PURL: http://purl.flvc.org/fcla/dt/347362
Subject Headings: Multimedia systems --Security measures., Digital watermarks., Digital video.
Format: Document (PDF)

Title: A hybrid color‐based foreground object detection method for automated marine surveillance.
Creator: Furht, Borko, Kalva, Hari, Marques, Oge, Culibrk, Dubravko, Socek, Daniel
Date Issued: 2005
PURL: http://purl.flvc.org/fcla/dt/358420
Subject Headings: Computer vision., Automatic tracking., Digital video., Image processing., Optical pattern recognition.
Format: Document (PDF)

Title: Wyner–Ziv to Baseline H.264 Video Transcoder.
Creator: Corrales-García, Alberto, Martínez, Jose Luis, Fernández-Escribano, Gerardo, Villalon, Jose Miguel, Kalva, Hari, Cuenca, Pedro
Date Issued: 2012-12-09
PURL: http://purl.flvc.org/fau/fd/FAUIR000160
Format: Citation

Title: New approaches to encryption and steganography for digital videos.
Creator: Furht, Borko, Socek, Daniel, Kalva, Hari, Magliveras, Spyros S., Marques, Oge, Culibrk, Dubravko
Date Issued: 2007
PURL: http://purl.flvc.org/fcla/dt/337435
Subject Headings: Multimedia systems --Security measures., Digital video., Digital watermarking., Data encryption (Computer science) --Technological innovations., Cryptography.
Format: Document (PDF)

Title: Analysis of Eye Response to Video Quality and Structure.
Creator: Pappusetty, Deepti, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Real-time eye tracking systems with human-computer interaction mechanism are being adopted to advance user experience in smart devices and consumer electronic systems. Eye tracking systems measure eye gaze and pupil response non-intrusively. This research presents an analysis of eye pupil and gaze response to video structure and content. The set of experiments for this study involved presenting different video content to subjects and measuring eye response with an eye tracker. Results show...
Show moreReal-time eye tracking systems with human-computer interaction mechanism are being adopted to advance user experience in smart devices and consumer electronic systems. Eye tracking systems measure eye gaze and pupil response non-intrusively. This research presents an analysis of eye pupil and gaze response to video structure and content. The set of experiments for this study involved presenting different video content to subjects and measuring eye response with an eye tracker. Results show significant changes in video and scene cuts led to sharp constrictions. User response to videos can provide insights that can improve subjective quality assessment metrics. This research also presents an analysis of the pupil and gaze response to quality changes in videos. The results show pupil constrictions for noticeable changes in perceived quality and higher fixations/saccades ratios with lower quality. Using real-time eye tracking systems for video analysis and quality evaluation can open a new class of applications for consumer electronic systems.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00005940
Subject Headings: Dissertations, Academic -- Florida Atlantic University, Eye tracking., Video., Quality (Aesthetics)
Format: Document (PDF)

Title: HEVC optimization in mobile environments.
Creator: Garcia, Ray, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Recently, multimedia applications and their use have grown dramatically in popularity in strong part due to mobile device adoption by the consumer market. Applications, such as video conferencing, have gained popularity. These applications and others have a strong video component that uses the mobile device’s resources. These resources include processing time, network bandwidth, memory use, and battery life. The goal is to reduce the need of these resources by reducing the complexity of the...
Show moreRecently, multimedia applications and their use have grown dramatically in popularity in strong part due to mobile device adoption by the consumer market. Applications, such as video conferencing, have gained popularity. These applications and others have a strong video component that uses the mobile device’s resources. These resources include processing time, network bandwidth, memory use, and battery life. The goal is to reduce the need of these resources by reducing the complexity of the coding process. Mobile devices offer unique characteristics that can be exploited for optimizing video codecs. The combination of small display size, video resolution, and human vision factors, such as acuity, allow encoder optimizations that will not (or minimally) impact subjective quality. The focus of this dissertation is optimizing video services in mobile environments. Industry has begun migrating from H.264 video coding to a more resource intensive but compression efficient High Efficiency Video Coding (HEVC). However, there has been no proper evaluation and optimization of HEVC for mobile environments. Subjective quality evaluations were performed to assess relative quality between H.264 and HEVC. This will allow for better use of device resources and migration to new codecs where it is most useful. Complexity of HEVC is a significant barrier to adoption on mobile devices and complexity reduction methods are necessary. Optimal use of encoding options is needed to maximize quality and compression while minimizing encoding time. Methods for optimizing coding mode selection for HEVC were developed. Complexity of HEVC encoding can be further reduced by exploiting the mismatch between the resolution of the video, resolution of the mobile display, and the ability of the human eyes to acquire and process video under these conditions. The perceptual optimizations developed in this dissertation use the properties of spatial (visual acuity) and temporal information processing (motion perception) to reduce the complexity of HEVC encoding. A unique feature of the proposed methods is that they reduce encoding complexity and encoding time. The proposed HEVC encoder optimization methods reduced encoding time by 21.7% and bitrate by 13.4% with insignificant impact on subjective quality evaluations. These methods can easily be implemented today within HEVC.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004112
Subject Headings: Coding theory, Digital coding -- Data processing, Image processing -- Digital techniques, Multimedia systems, Video compression
Format: Document (PDF)

Title: Perceptual methods for video coding.
Creator: Adzic, Velibor, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are...
Show moreThe main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are implemented in the state-of- the-art video encoders. Result of using our algorithms is visually lossless compression with improved efficiency, as verified by standard subjective quality and psychophysical tests. Savings in bitrate compared to the High Efficiency Video Coding / H.265 reference implementation are up to 45%.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004074, http://purl.flvc.org/fau/fd/FA00004074
Subject Headings: Algorithms, Coding theory, Digital coding -- Data processing, Imaging systems -- Image quality, Perception, Video processing -- Data processing
Format: Document (PDF)

Title: Multimedia Big Data Processing Using Hpcc Systems.
Creator: Chinta, Vishnu, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: 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...
Show moreThere 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.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00004875, http://purl.flvc.org/fau/fd/FA00004875
Subject Headings: Big data., High performance computing., Software engineering., Artificial intelligence--Data processing., Management information systems., Multimedia systems.
Format: Document (PDF)

Title: Predicting Levels of Learning with Eye Tracking.
Creator: Parikh, Saurin Sharad, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: E-Learning is transforming the delivery of education. Today, millions of students take selfpaced online courses. However, the content and language complexity often hinders comprehension, and that with lack of immediate help from the instructor leads to weaker learning outcomes. Ability to predict difficult content in real time enables eLearning systems to adapt content as per students' level of learning. The recent introduction of lowcost eye trackers has opened a new class of applications...
Show moreE-Learning is transforming the delivery of education. Today, millions of students take selfpaced online courses. However, the content and language complexity often hinders comprehension, and that with lack of immediate help from the instructor leads to weaker learning outcomes. Ability to predict difficult content in real time enables eLearning systems to adapt content as per students' level of learning. The recent introduction of lowcost eye trackers has opened a new class of applications based on eye response. Eye tracking devices can record eye response on the visual element or concept in real time. The response and the variations in eye response to the same concept over time may be indicative of the levels of learning. In this study, we have analyzed reading patterns using eye tracker and derived 12 eye response features based on psycholinguistics, contextual information processing, anticipatory behavior analysis, recurrence fixation analysis, and pupils' response. We use eye responses to predict the level of learning for a term/concept. One of the main contribution is the spatio-temporal analysis of the eye response on a term/concept to derive relevant first pass (spatial) and reanalysis (temporal) eye response features. A spatiotemporal model, built using these derived features, analyses slide images, extracts words (terms), maps the subject's eye response to words, and prepares a term-response map. A parametric baseline classifier, trained with labeled data (term-response maps) classifies a term/concept as a novel (positive class) or familiar (negative class), using majority voting method. On using, only first pass features for prediction, the baseline classifier shows 61% prediction accuracy, but on adding reanalysis features, baseline achieves 66.92% accuracy for predicting difficult terms. However, all proposed features do not have the same response to learning difficulties for all subjects, as we consider reading as an individual characteristic. Hence, we developed a non-parametric, feature weighted linguistics classifier (FWLC), which assigns weight to features based on their relevance. The FWLC classifier achieves a prediction accuracy of 90.54% an increase of 23.62% over baseline and 29.54% over the first-pass variant of baseline. Predicting novel terms as familiar is more expensive because content adapts by using this information. Hence, our primary goal is to increase the prediction rate of novel terms by minimizing the cost of false predictions. On comparing the performance of FWLC with other frequently used machine learning classifiers, FWLC achieves highest true positive rate (TPR) and lowest ratio of false negative rate (FNR) to false positive rate (FPR). The higher prediction performance of proposed spatio-temporal eye response model to predict levels of learning builds a strong foundation for eye response driven adaptive e-Learning.
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Date Issued: 2017
PURL: http://purl.flvc.org/fau/fd/FA00005941
Subject Headings: Dissertations, Academic -- Florida Atlantic University, Eye tracking., E-Learning.
Format: Document (PDF)

Title: Low complexity scalable video encoding.
Creator: Jillani, Rashad M., Kalva, Hari, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The emerging Scalable Video Coding (SVC) extends the H.264/AVC video coding standard with new tools designed to efficiently support temporal, spatial and SNR scalability. In real-time multimedia systems, the coding performance of video encoders and decoders is limited by computational complexity. This thesis presents techniques to manage computational complexity of H.264/AVC and SVC video encoders. These techniques aim to provide significant complexity saving as well as a framework for...
Show moreThe emerging Scalable Video Coding (SVC) extends the H.264/AVC video coding standard with new tools designed to efficiently support temporal, spatial and SNR scalability. In real-time multimedia systems, the coding performance of video encoders and decoders is limited by computational complexity. This thesis presents techniques to manage computational complexity of H.264/AVC and SVC video encoders. These techniques aim to provide significant complexity saving as well as a framework for efficient use of SVC.
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Date Issued: 2012
PURL: http://purl.flvc.org/fau/fd/FA00004252
Format: Document (PDF)

Title: Techniques for improving the capacity of video on demand systems.
Creator: Kalva, Hari., Florida Atlantic University, Furht, Borko, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This thesis presents a survey of multimedia networks and the techniques to improve the capacity of video on demand systems. A survey was conducted and comparative evaluation was done to determine the multimedia capabilities of various networks. Video on demand is an electronic video rental system in which clients request and play videos on-demand. Video on-demand system can be implemented over an existing cable TV network or an upgraded ADSL network. The two techniques used to improve the...
Show moreThis thesis presents a survey of multimedia networks and the techniques to improve the capacity of video on demand systems. A survey was conducted and comparative evaluation was done to determine the multimedia capabilities of various networks. Video on demand is an electronic video rental system in which clients request and play videos on-demand. Video on-demand system can be implemented over an existing cable TV network or an upgraded ADSL network. The two techniques used to improve the capacity of video on-demand systems are segmentation and multicasting. Segmentation consists of dividing the video into several fixed length segments, and then transmitting the segments at regular intervals instead of transmitting the video continuously. With multicasting, more than one user requesting the same video are served by a single video stream. Multicasting further assumes that each subscriber has a limited storage space, so same video segments can be multicast to subscribers simultaneously even if the requests for a video are not synchronous.
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Date Issued: 1994
PURL: http://purl.flvc.org/fcla/dt/15112
Subject Headings: Video recording, Multimedia systems, Interactive multimedia
Format: Document (PDF)

Title: People counting and density estimation using public cameras.
Creator: Escudero Huedo, Antonio Eliseo, Kalva, Hari, Raviv, Daniel, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Many times we decide to go to a place depending on how crowded the place is. Our decisions are made based on different aspects that are only known in real time. A system that provides users or agencies information about the actual number of people in the scene over the time will allow them to make a decision or have information about a given location. This thesis presents a low complexity system for human counting and human detection using public cameras which usually do not have good quality...
Show moreMany times we decide to go to a place depending on how crowded the place is. Our decisions are made based on different aspects that are only known in real time. A system that provides users or agencies information about the actual number of people in the scene over the time will allow them to make a decision or have information about a given location. This thesis presents a low complexity system for human counting and human detection using public cameras which usually do not have good quality. The use of computer vision techniques makes it possible to have a system that allows the user to have an estimate number of people. Different videos were studied with different resolutions and camera positions. The best video result shows an error of 0.269%, while the worst one is 8.054 %. The results show that relatively inexpensive cameras streaming video at a low bitrate can be used to develop large scale people counting applications.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004104
Format: Document (PDF)

FAU College Collections (12)	+ -
FAU Theses and Dissertations (9)	+ -
FAU Graduate Student Research (1)	+ -

Digital video. (8)	+ -
MPEG (Video coding standard) (3)	+ -
Multimedia systems (3)	+ -
Coding theory (2)	+ -
Digital coding -- Data processing (2)	+ -

Dissertations, Academic -- Florida Atlantic University (2)	+ -
Eye tracking. (2)	+ -
Multimedia systems --Security measures. (2)	+ -
Multimedia systems. (2)	+ -
Video compression. (2)	+ -
Algorithms (1)	+ -
Artificial intelligence--Data processing. (1)	+ -
Automatic tracking. (1)	+ -
Big data. (1)	+ -
Broadcasting --Technological innovations. (1)	+ -
Computer vision. (1)	+ -
Cryptography. (1)	+ -
Data encryption (Computer science) --Technological innovations. (1)	+ -
Data transmission systems (1)	+ -
Digital communications (1)	+ -
Digital communications. (1)	+ -
Digital video (1)	+ -
Digital watermarking. (1)	+ -
Digital watermarks. (1)	+ -
E-Learning. (1)	+ -
High performance computing. (1)	+ -
Image processing -- Digital techniques (1)	+ -
Image processing. (1)	+ -
Imaging systems -- Image quality (1)	+ -
Interactive multimedia (1)	+ -

Electronic Thesis or Dissertation (9)	+ -
article (9)	+ -
abstract (1)	+ -
patent (1)	+ -
report (1)	+ -

Kalva, Hari (21)	+ -
Furht, Borko (12)	+ -
College of Engineering and Computer Science (10)	+ -
Department of Computer and Electrical Engineering and Computer Science (9)	+ -
Florida Atlantic University (8)	+ -

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