object-based video coding, as standardized in MPEG-4 Part 2, can result in superior performance in comparison to common hybrid motion-compensated DCT-based approaches. We consider sprite coding which increases signifi...
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ISBN:
(纸本)9789537044060
object-based video coding, as standardized in MPEG-4 Part 2, can result in superior performance in comparison to common hybrid motion-compensated DCT-based approaches. We consider sprite coding which increases significantly the objective as well as the subjective quality of the coded video. The main challenge of this approach is the pre-segmentation of the video and the video content itself To apply sprite coding, the input video has to be firstly segmented into foreground and background objects. We evaluate automatic object segmentation methods based on global motion estimation and background sprite generation. These algorithms are evaluated using the standardized MPEG-4 Visual Main Profile (sprite coding).
Rate and distortion models can play a very important role in real-time video encoding, since they can be used to obtain near optimal operation performance in terms of the RD tradeoff without the drawback of having to ...
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ISBN:
(纸本)0819454966
Rate and distortion models can play a very important role in real-time video encoding, since they can be used to obtain near optimal operation performance in terms of the RD tradeoff without the drawback of having to encode multiple times the same VOP to find the best combination of coding parameters. In the context of object-basedvideo encoding, notably in MPEG-4 video encoding(1), rate and distortion models characterize the relation between the average number of bits/pixel to code a given videoobject Plane (VOP), the average VOP distortion, and the relevant coding parameters. These models are usually defined in terms of rate-quantization (RQ), distortion-quantization (DQ), and rate-distortion (RD) functions. This paper addresses the problem of rate and distortion modeling for Intra and Inter coding in the context of object-based MPEG-4 video encoding. In the case of Intra. coding, the VOP to encode does not depend on other past or future VOPs;therefore, its rate and distortion characteristics depend exclusively on the current quantizer parameter(s) and VOP statistics. In the case of Inter coding, the rate and distortion functions depend not only on the current VOP but also on its reference VOP(s);therefore the rate and distortion functions become bidimensional and consequently more difficult to estimate during encoding. In this paper, a new approach is proposed where the rate and distortion functions for Inter coding are modeled as one-dimensional functions plus an adaptation term.
This paper proposes a motion-based region growing segmentation scheme, which incorporatesluminance and motion information simultaneously and uses morphological tools such as open-close byreconstruction and the region-...
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This paper proposes a motion-based region growing segmentation scheme, which incorporatesluminance and motion information simultaneously and uses morphological tools such as open-close byreconstruction and the region-growing version of the watershed algorithm. The main advantage of this scheme is thatthe resultant objects ore characterized by a coherent motion and foe moving object boundaries are precisely *** results demonstrate the effiency of the Proposed scheme.
Moving object detection (MOD) has gained significant attention for its application in advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are essential prerequisites for various applicatio...
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Moving object detection (MOD) has gained significant attention for its application in advanced video surveillance tasks. Region-of-Interest (ROI) detection algorithms are essential prerequisites for various applications, ranging from video surveillance to adaptive videocoding. The simplicity and efficiency of MOD methods are critical when targeting energy-constrained systems, such as Wireless Multimedia Sensor Networks (WMSN). The challenge is always to reduce computational costs while preserving high detection accuracy. In this article, we present EVBS-CAT, an Enhanced video Background Subtraction with a Controlled Adaptive Threshold selection method for low-cost surveillance systems. The proposed moving object detection method utilizes background subtraction (BS) with morphological operations and adaptive thresholding. We evaluate the algorithm using the Change Detection 2012 dataset. Through a computational complexity analysis of each step, we demonstrate the efficiency of the proposed MOD technique for embedded WMSN. The algorithm yields promising results compared to state-of-the-art MOD techniques in the context of embedded wireless surveillance.
Geometric distortion measurement and the associated metrics involved are integral to the Rate Distortion (RD) shape coding framework, with importantly the efficacy of the metrics being strongly influenced by the under...
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Geometric distortion measurement and the associated metrics involved are integral to the Rate Distortion (RD) shape coding framework, with importantly the efficacy of the metrics being strongly influenced by the underlying measurement strategy. This has been the catalyst for many different techniques with this article presenting a comprehensive review of geometric distortion measurement, the diverse metrics applied, and their impact on shape coding. The respective performance of these measuring strategies is analyzed from both a RD and complexity perspective, with a recent distortion measurement technique based on arc-length-parameterization being comparatively evaluated. Some contemporary research challenges are also investigated, including schemes to effectively quantify shape deformation.
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