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Distributed video coding (DVC) is considered as one promising video coding scheme for Wireless Video Sensor Network (WVSN) due to its high compression efficiency and error resilience functionalities, as well as the low encoding complexity. This paper presents an improved DVC scheme based on the source classification in wavelet domain. In this scheme, the new side information (SI) refinement method...
OFDM system suffers from inter-carrier interference due to frequency offset produced by the movement of terminals. Several schemes have been proposed to mitigate this type of interference. In this paper, an unscented Kalman filter (UKF) based methodology is addressed to estimate the carrier frequency offset (CFO).We have compared the BER performance of UKF with other schemes and also analyzed the...
Wyner-Ziv video coding is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. It shifts the complexity to the decoder, resulting in a low- complexity encoder suitable for mobile video communications and visual sensor networks. This paper presents an improved Wyner-Ziv video coding scheme for sensor network. An improved key frame encoding...
Distributed video coding (DVC) is considered as one promising video coding scheme for Wireless Video Sensor Network (WVSN) due to its high compression efficiency and error resilience functionalities, as well as the low encoding complexity. In this paper, an improved DVC scheme based on checkerboard pattern splitting for Wyner-Ziv (WZ) frame is presented. In specific, the modified three-dimensional...
This paper presents a motion compensated frame interpolation (MCFI) scheme for high-definition (HD) video applications. The proposed algorithm uses only two successive frames, and the motion candidates are selected from the spatial and temporal domains. The scheme includes the following four steps. Firstly, forward and backward motion fields are estimated. Secondly, the motion vector fields are projected...
This paper presents an improved feedback-assisted low complexity WZVC scheme. The performance of this scheme is improved by two enhancements: an improved mode-based key frame encoding and a 3DRS-assisted (three-dimensional recursive search assisted) motion estimation algorithm for WZ encoding. Experimental results show that our coding scheme can achieve significant gain compared to state-of-the-art...
The side information (SI) generation is a key function in the Wyner-Ziv (WZ) video coding, which plays an important role in determining the performance of the codec. This paper proposes an improved SI generation scheme for wavelet transform based WZ video codec. In specific, we adopt the motion estimation with Kalman filter, by which an optimal estimation of motion vector can be achieved. Simulation...
In Wyner-Ziv video coding (WZVC), the majority of the computational complexity has been shifted from encoder to the decoder in comparison to its conventional video coding technologies. This paper presents a low-complexity frame/block motion activity classification algorithm for WZVC. Improved rate-distortion performance is achieved by adjusting the coding mode of key frame according to the motion...
In this paper, an improved DVC scheme that uses backward channel aware motion estimation is presented. A novel key frame coding method and a macroblock classification method are proposed, which are based on motion activity classification. Then, these methods then are used for mode-decision of switch motion estimation method at the decoder. We further present a 3DRS motion estimation based on motion...
Side Information (SI) generation is a key function in the DVC decoder, and plays a critical impact on the compression efficiency. This paper proposes an improved side information generation scheme of transform domain distributed video coding considering a novel content-based side information refinement technique, which is performed with the color and texture features to segment the side information...
A novel semi-fragile watermarking scheme in DWT domain for image authentication and tamper localization is proposed in this paper. The proposed scheme extracts content-based image features from the approximation subband in the wavelet domain to generate the watermark. Then the watermark is embedded into the middle frequency subband in the wavelet domain. For image authentication and tamper localization,...
Background subtraction is an effective method in detecting moving objects in a static scene, which requires a fixed camera, and a static background. Illumination changing is a challenging problem which causes failure of background subtraction. Most background subtract algorithms require the illumination changing slowly, so the object can be tracked accurately and the background is easy to update....
Object tracking with occlusion handling is a challenging problem in intelligent video surveillance system. Among various tracking algorithms, particle filter (PF) is a robust and accurate one for different applications. In this paper, a new approach based on particle filter is presented for tracking object accurately and steadily when the target encountering occlusion in video sequences. First, the...
This paper proposed a new 2-dimension-code-like feature based on the Haar-like feature proposed by Viola et al. The feature can be calculated in different scales rapidly once the integral image is calculated and this characteristic is inherited from the Haar-like feature. Instead of reducing the dimensions after calculating redundant features, we calculate feature vectors with fixed dimensions for...
Robust and reliable traffic surveillance system is an urgent need to improve traffic control and management. Vehicle flow detection appears to be an important part in surveillance system. The traffic flow shows the traffic state in fixed time interval and helps to manage and control especially when there's a traffic jam. In this paper, we propose a traffic surveillance system for vehicle detection...
Background subtraction is an effective method in detecting moving objects in a static scene, which requires a fixed camera, and a static background. Illumination changing is a challenging problem which causes failure of background subtraction. Most background subtract algorithms require the illumination changing slowly, so the object can be tracked accurately and the background is easy to update....
Among various tracking algorithms, particle filtering (PF) is a robust and accurate one for different applications. It also allows data fusion from different sources due to its inherent property without increasing the dimension of the state vector. In this paper, we propose three strategies to improve the performance of particle filters. First, our approach combines the foreground region with the...
In this paper, a novel dynamic addressing scheme for wireless sensor networks (WSNs) is proposed by using variable length coding. A WSN is typically composed of numerous tiny energy-constrained sensor nodes with limited information processing and data storage capabilities; thus, the energy-efficient strategy is the key issue in designing protocols for WSN. Traditional addressing strategies adopt flat...
A novel local image feature description method, which originates from the frameworks of classical SIFT (Scale Invariant Feature Transform) and SURF (Speeded up Robust Features), is presented in this paper. The design of our descriptor innovatively adopts sub-regions overlapped each other in feature description. Coordinated with overlapping sub-regions, we analyze different cell normalization methods...
Bad weather, such as fog and haze can significantly degrade the visibility of a scene. In order to overcome it, some approaches have been proposed. In this paper, we proposed a novel defogging algorithm just based on a single image. Firstly, we employ the method of dark channel prior as a foundation of our algorithm. After experimental analysis about the dark channel prior haze removal, we find that...
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