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检索条件"主题词=Video object coding"

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Arbitrarily Shape object-based video coding Technology by Wavelet-based Contourlet Transform

Arbitrarily Shape Object-based Video Coding Technology by Wa...

引用

IEEE International Conference on Information and Automation 2015

作者： Shu, Zhenghua Luo, Yihang Liu, Guodong Xie, Zhihua Jiangxi Sci & Technol Normal Univ Key Lab Opt Elect & Commun Nanchang Peoples R China

ISBN: (纸本)9781467391047

video object coding is one of the most important functionalities proposed by MPEG4. In this paper, a new Wavelet-based Contourlet Transform method to encode the texture of an arbitrarily shaped object is presented, which both for the still and for video object. The method uses the shape adaptive Wavelet-based Contourlet Transform (SA-WBCT) in MPEG4 still object coding, but with a computationally more efficient lifting implementation. The transformed object coefficients are then quantized and entropy encoded with a partial bitplane embedded coder, which greatly improves the coding efficiency. We denote the coding algorithm as video object Wavelet-based Contourlet Transform (VOWBCT) coder. The results show that the quality of the VOWBCT algorithm is significantly higher than the results of the VOW algorithm in the same bit rate in terms of PSNR. Moreover, This VOWBCT coding method is more convenient in realization.

关键词： Wavelet-Based Contourlet Transform(WBCT) Image coding video object coding Shape coding VOWBCT

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Arbitrarily Shape object-based video coding Technology by Wavelet-based Contourlet Transform

Arbitrarily Shape Object-based Video Coding Technology by Wa...

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IEEE International Conference on Information and Automation

作者： Zhenghua Shu Yihang Luo Guodong Liu Zhihua Xie Key Lab of Optic-Electronic and Communication Jiangxi Science and Technology Normal University

ISBN: (纸本)9781467391054

关键词： Wavelet-Based Contourlet Transform (WBCT) Image coding video object coding Shape coding VOWBCT

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Compressive Sensing based video object Compression Schemes for Surveillance Systems

Compressive Sensing based Video Object Compression Schemes f...

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Conference on video Surveillance and Transportation Imaging Applications

作者： Narayanan, Sathiya Makur, Anamitra Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

ISBN: (纸本)9781628414974

In some surveillance videos, successive frames exhibit correlation in the sense that only a small portion changes (object motion). If the foreground moving objects are segmented from the background they can be coded independently requiring far fewer bits compared to frame-based coding. Huang et al proposed a Compressive Sensing (CS) based video object Error coding (CS-VOEC) where the objects are segmented and coded via motion estimation and compensation. Since motion estimation might be computationally intensive, encoder can be kept simple by performing motion estimation the decoder rather than at the encoder. We propose a novel CS based video object Compression (CS-VOC) technique having a simple encoder in which the sensing mechanism is applied directly on the segmented moving objects using a CS matrix. At the decoder, the object motion is first estimated so that a CS reconstruction algorithm can efficiently recover the sparse motion-compensated video object error. In addition to simple encoding, simulation results show our coding scheme performs on par with the state-of-the-art CS based video object error coding scheme. If the object segmentation requires more computations, we propose to deploy a distributed CS framework called Distributed Compressive video Sensing based video object Compression (DCVS-VOC) wherein the object segmentation is done only for key frames.

关键词： Distributed Compressive Sensing video object coding object motion

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The Sparse Discrete Cosine Transform with Application to Image Compression

The Sparse Discrete Cosine Transform with Application to Ima...

引用

Picture coding Symposium (PCS)

作者： Cook, Gregory W. Kalker, Ton Hewlett Packard Corp Palo Alto CA 94304 USA DTS Inc Calabasas CA USA

ISBN: (纸本)9781479902941

Presented here is a description and analysis of the N-point sparse discrete cosine transform (SDCT), where N is a power of two, which retains all of the properties of the parent DCT such as linearity, energy compaction, and having a fast transform implementation, while allowing arbitrarily-many known zeros, i.e., masked elements, in the input. It has application to image and video compression in that arbitrarily shaped regions may be transformed by the two-dimensional (2D) SDCT with approximately the same resulting compression efficiency as the standard 2D DCT applied to square blocks. The solution is based on a systematic application of symmetry and additive symmetry to the input elements. The four- and eight-point solutions are presented first, with emphasis on development of a set of generating matrices, and finally a general N-point solution is described. The 8 x 8 SDCT was implemented in VP9 and as expected the transform was found to be perfect and also improved compression efficiency for video objects with a known mask.

关键词： video object coding discrete cosine transform sparse arbitrary shape

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LOW-COMPLEXITY ARBITRARILY SHAPED TRANSFORM AND COEFFICIENT ORDERING METHOD BASED ON THE FOUR-POINT DCT

LOW-COMPLEXITY ARBITRARILY SHAPED TRANSFORM AND COEFFICIENT ...

引用

19th IEEE International Conference on Image Processing (ICIP)

作者： Cook, Gregory W. Kalker, Ton Futurewei Technol Inc Santa Clara CA 95050 USA

ISBN: (纸本)9781467325332;9781467325349

In this paper we develop an effective method for arbitrary shape coding based on a four-point DCT. The improvements results from two sources: (1) an effective use of the DCT by efficiently inducing zero-valued transform coefficients, and (2) a novel method of ordering the coefficients allowing the decoder to skip the locations of induced zeros. The algorithm is low complexity, as it only requires only arithmetic and shifting operations in the encoder, and shifting and masking operations in the decoder. The performance is comparable to published techniques in the literature, with the added benefit of low complexity and good performance at both high and low bit rates.

关键词： video object coding discrete cosine transform arbitrary shape zigzag

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