Efficient hybrid video coders with spatial and temporal scalability

Domański, Marek; Makowiak, S.; Blaszak, Lukasz; Luczak, Adam

doi:10.1109/icme.2002.1035736

Cited by 7 publications

(7 citation statements)

References 12 publications

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“…We constructed a spatially scalable encoder according to Dougad's scheme [7]. We added MPEG-2-like spatial scalability (which was not tested in our previous paper) as shown in [5] except that we include the average of the upsampled decoded low-resolution frame and every temporal reference frame, instead of just the last one, as reference frames for motion estimation. We modified the codec to drop DCT coefficients.…”

Section: Methodsmentioning

confidence: 99%

An experimental analysis of DCT-based approaches for fine-grained multiresolution video

2006

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In the future, video-streaming systems will have to support adaptation over an extremely large range of display requirements (e.g., 90 × 60 to 1920 × 1080). This paper presents the architectural trade-offs of bandwidth efficiency, computational cost, and storage cost to support fine-grained multiresolution video over a large set of resolutions. While several techniques have been proposed, they have focused mainly on limited spatial resolution adaptation. In this paper, we examine the ability of current techniques to support wide-range spatial resolution adaptation. Based upon experiments with real video, we propose an architecture that can support wide-range adaptation efficiently. Our results indicate that multiple encodings with limited spatial adaptation from each encoding provide good trade-offs between efficient coding and the ability to adapt the stream to various resolutions.

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Section: Methodsmentioning

confidence: 99%

An experimental analysis of DCT-based approaches for fine-grained multiresolution video

2006

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“…Compared with encoder in Refs. [8,9 ], the proposed encoder saves a lot of hardware expense. By choosing and combining the bitstreams of different layers, users can acquire their necessary scalability, such as temporal-SNR scalability, spatio-SNR scalability and spatio-temporal-SNR scalability.…”

Section: Codec Of MC + Fgsst Structurementioning

confidence: 99%

An improved spatio-temporal-SNR FGS video coding scheme using motion compensation on enhancement layers

Jiang

Zhang

et al. 2006

J. of Shanghai Univ.

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In this paper an effective MC + FGSST sl~ucttLre is explored, which is appropriate for scalable video coding. The structure obtains spatio-temporal-SNR fine granular scalability, and achieves high coding efficiency at the same time. Users can acquire their necessary scalability by choosing and combining them. Then, a high-powered codec solution based on this structure is presented. Subsequently, a focus issue on the right number of bit-planes should be used for motion compensation is discussed, and an algorithm is presented for this issue. The proposed codec saves a lot of hardware expense. Simulation results indicate that the performance of MC + FOSST structure is superior to that of FGSST s~-ucture.

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“…The base layer is traditionally encoded with MPEG-4 visual simple profile [17,18]. However, other encoding schemes for the base layer are suggested in [19][20][21][22]. As such, FGS can be seen as an enhancement scheme on top of existing codecs delivering additional quality and enabling various additional features.…”

Section: Region-of-interest In Mpeg-4 Fgsmentioning

confidence: 99%

Lightweight Object Tracking in Compressed Video Streams Demonstrated in Region-of-Interest Coding

Sutter

DeWolf

Lerouge³

et al. 2006

EURASIP J. Adv. Signal Process.

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Video scalability is a recent video coding technology that allows content providers to offer multiple quality versions from a single encoded video file in order to target different kinds of end-user devices and networks. One form of scalability utilizes the regionof-interest concept, that is, the possibility to mark objects or zones within the video as more important than the surrounding area. The scalable video coder ensures that these regions-of-interest are received by an end-user device before the surrounding area and preferably in higher quality. In this paper, novel algorithms are presented making it possible to automatically track the marked objects in the regions of interest. Our methods detect the overall motion of a designated object by retrieving the motion vectors calculated during the motion estimation step of the video encoder. Using this knowledge, the region-of-interest is translated, thus following the objects within. Furthermore, the proposed algorithms allow adequate resizing of the region-of-interest. By using the available information from the video encoder, object tracking can be done in the compressed domain and is suitable for real-time and streaming applications. A time-complexity analysis is given for the algorithms proving the low complexity thereof and the usability for real-time applications. The proposed object tracking methods are generic and can be applied to any codec that calculates the motion vector field. In this paper, the algorithms are implemented within MPEG-4 fine-granularity scalability codec. Different tests on different video sequences are performed to evaluate the accuracy of the methods. Our novel algorithms achieve a precision up to 96.4%.

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Efficient hybrid video coders with spatial and temporal scalability

Cited by 7 publications

References 12 publications

An experimental analysis of DCT-based approaches for fine-grained multiresolution video

An experimental analysis of DCT-based approaches for fine-grained multiresolution video

An improved spatio-temporal-SNR FGS video coding scheme using motion compensation on enhancement layers

Lightweight Object Tracking in Compressed Video Streams Demonstrated in Region-of-Interest Coding

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