The MPEG-4 video standard verification model

Sikora, Thomas

doi:10.1109/76.554415

Cited by 532 publications

(230 citation statements)

References 6 publications

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“…The fixed bit rate of the above proprietary video codecs is in contrast to the variable rate of the existing standard video codecs, such as the Motion Pictures Expert Group codecs known as MPEG1 [49], MPEG2 [50], and MPEG4 [51], [52], [169]- [171] or the H.261 and H.263 codecs [27], [53] standardized by the International Telecommunications Union (ITU). A distinctive feature of the latter standard codecs is, namely, that the time-variant video motion activity 2 A range of video sequences encoded at various constant bit rates between 6.7 and 13 kb/s can be viewed at http://www-mobile.ecs.soton.ac.uk.…”

Section: Video Aspectsmentioning

confidence: 99%

“…Future video transceiver performance improvements are possible, while retaining the basic system design principles itemized above. The image compression community effectively completed the MPEG4 video standard [169]- [171], while the wireless communications community has commenced research toward the fourth generation of mobile radio standards. All in all, this is an exciting era for wireless video communications researchers, bringing about new standards to serve a forthcoming wireless multimedia age.…”

Section: Summary Conclusion and System Design Guidelinesmentioning

confidence: 99%

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Interactive cellular and cordless video telephony: State-of-the-art system design principles and expected performance

2000

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Second-generation (2G) mobile radio standards have not been designed with video communications in mind, although the employment of error-resilient, constant-bit-rate proprietary video codecs over these systems is realistic. The third-generation (3G) systems I. STATE-OF-THE-ART SYSTEM COMPONENT DEVELOPMENTS A. Introduction and OutlineThe subject of mobile radio communications has reached a state of maturity over the past two decades, as indicated by the excellent monographs by Jakes This contribution attempts to summarize a range of recent advances in the field of bandwidth-efficient wireless video communications. In this section, we commence our discourse with a brief overview of the wireless scene and, in particular, by considering the video transmission capabilities of the existing and future wireless systems. The geographical variation of the cellular channel capacity is characterized by Section II, as a motivation for invoking burst-by-burst adaptive transceivers [27]- [29]. The nature of co-channel interference (CCI)-which is the most dominant channel impairment in wireless systems-is the topic of Section III, where it is shown that the geographic variation of CCI justifies the employment of multimode transceivers, which are discussed in Section IV. Low-rate video compression aspects are reviewed in Section V, and the performance of the ITU H.263 codec is analyzed in some depth. Our discussions in Sections VI and VII are focused on the performance of reconfigurable video transceivers. Specifically, in Section VI, no power control is used-which is typically the case in cordless telephones, such as DECT and CT2-while in Section VII, power control is employed, which is characteristic of cellular systems, such as GSM [30], etc. Section VIII proposes a near-instantaneously adaptive or burst-by-burst adaptive code-division multiple-access (CDMA) scheme, which can be invoked in the context of the forthcoming 3G systems, in order to enhance their performance. Lastly, our discussions are concluded in Section IX with a range of system design guidelines. Let us now commence our overview of the range of existing and forthcoming wireless systems and their video transmission capabilities. B. Second-Generation (2G) Wireless SystemsThe existing 2G wireless systems now constitute a mature technology. Although they have not been designed with video communications in mind, with the advent of the specially designed error-resilient, fixed-rate video codecs [27]-[35] proposed by Streit et al., it is nonetheless realistic to provide videophone services over these low-rate schemes. For low-latency interactive videophony these systems have

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Section: Video Aspectsmentioning

confidence: 99%

Section: Summary Conclusion and System Design Guidelinesmentioning

confidence: 99%

Interactive cellular and cordless video telephony: State-of-the-art system design principles and expected performance

2000

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“…MPEG-4 video is an object-based hybrid natural and synthetic coding standard which specifies the technologies enabling the functionalities such as content-based interactivity, efficient compression and error resilience [8]. Fig.1 illustrates MPEG-4 video coding and composition procedure with user interactions.…”

Section: Overview Of Mpeg-4 Video Verification Modelmentioning

confidence: 99%

Modeling and Scheduling for MPEG-4 Based Video Encoder Using a Cluster of Workstations

Ahmad

Liou

1999

Parallel Computation

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Abstract. In this paper, we first present an Object Composition Petri Nets (OCPN) based model methodology for describing the dynamic behaviour of the multiple video objects and user interactions during the entire MPEG-4 video session; then, a Group of Video Object Plane (GOV) based periodical scheduling algorithm is proposed to assign the encoder tasks to a cluster of workstations with load balancing guarantee. The scheduling scheme can allocate the tasks efficiently according to the timing constraints as well as user interactions. The performance of the encoder can scale according to the number of workstations used. The experiment results indicate that a real-time encoding rate can be achieved for the sequences with multiple video objects.

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“…In a typical digital video stream, the meaningful entities of arbitrary shape (semantic objects), such as a human, a chair, a building and so on correspond to Video Objects, whereas the projection of video objects into a plane is represented by VOPs [8]. The objective of video object segmentation is to enable an object-based description of the scene by extracting objects of interest from a series of successive video frames.…”

Section: Introductionmentioning

confidence: 99%

A Novel Video Object Segmentation Approach for Noisy Video Sequences towards Effective Video Retrieval

Padmakala¹,

Anandhamala²

2010

IJCTE

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Abstract-In modern times, video object segmentation has emerged as one of the most imperative and challenging area of research. The principal objective of video object segmentation is to facilitate content-based representation by extracting objects of interest from a series of consecutive video frames. Recently, a number of video object segmentation algorithms have been discussed and unfortunately most existing segmentation algorithms are not adequate and robust enough to process noisy video sequences. Competence of most segmentation techniques is affected by the presence of noise in frames which is a critical issue of edge preservation. This paper presents a novel video object segmentation approach for noisy color video sequences towards effective video retrieval. Initially, the noisy video frames are denoised using a strategy based on an enhanced sparse representation in transform domain. Afterwards, the background is estimated from the denoised frames using the Expectation Maximization (EM) algorithm. Then, the foreground objects i.e.) moving video objects are segmented with the aid of the novel approach presented. The biorthogonal wavelet transform and the L2 norm distance measure are employed in the foreground object segmentation. The experimental results demonstrate the effectiveness of the presented approach in segmenting the video objects from noisy color video sequences.

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The MPEG-4 video standard verification model

Cited by 532 publications

References 6 publications

Interactive cellular and cordless video telephony: State-of-the-art system design principles and expected performance

Interactive cellular and cordless video telephony: State-of-the-art system design principles and expected performance

Modeling and Scheduling for MPEG-4 Based Video Encoder Using a Cluster of Workstations

A Novel Video Object Segmentation Approach for Noisy Video Sequences towards Effective Video Retrieval

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