IEEE Transactions on Circuits and Systems for Video Technology

Patch-based denoising, while effective, requires expensive pairwise patch comparisons. We present a novel fast patch-based denoising technique based on patch geodesic paths (PatchGPs). PatchGPs treat image patches as nodes and patch differences as edge weights for computing the shortest (geodesic) paths. The distance defined by the PatchGP can then be used as a similarity metric for image denoisin... View full abstract»

The detection of moving objects in videos is very important in many video processing applications, and background modeling is often an indispensable process to achieve this goal. Most of the traditional background modeling methods utilize color or texture information. However, color information is sensitive to illumination variations and texture information cannot be utilized to separate smooth fo... View full abstract»

Visual object tracking can be considered as an online procedure to adaptively measure the foreground object similarity itself. However, many previous works usually adopt a fixed metric or offline metric learning to evaluate this dynamic process; even with some online metric learning (OML) trackers, their models often suffer from overfitting issues. To overcome these deficiencies, we propose a self... View full abstract»

Pose estimation is a task with wide application prospects in computer vision, which remains a challenging problem. In this paper, a novel pose estimation algorithm is proposed on the basis of pose clustering and body-part candidates recombination. Different from most previous methods with a single pictorial structure (PS) model, we generate mixture PS models based on clusters of the poses to achie... View full abstract»

H.264/Advanced Video Coding (AVC) is well known for its superiority of finding an optimal tradeoff between the visual quality and the bit-rate expense. Nevertheless, the highly complex procedures of finding an optimal intra- or inter-prediction mode can degrade the run-time performance of the coding process. To speed up the run-time performance during the encoding of H.264/AVC intra-prediction mod... View full abstract»

This paper presents a novel rate control framework for H.264/Advanced Video Coding-based video coding that improves the preservation of gradient-based features like scale-invariant feature transform or speeded up robust feature compared with the default rate control algorithm in the JM reference software. First, a criterion (matching score) for feature preservation on the basis of the bag-of-featu... View full abstract»

The side information (SI) in Distributed Video Coding (DVC) is estimated using the available decoded frames and exploited for the decoding and reconstruction of other frames. The quality of the SI has a strong impact on the performance of DVC. Here, we propose a new approach that combines both global and local SI to improve coding performance. Since the background pixels in a frame are assigned to... View full abstract»

There is a growing interest in over-the-top (OTT) dynamic adaptive streaming over Hypertext Transfer Protocol (HTTP) (DASH) services. In mobile DASH, a client controls the streaming rate and the base station in the mobile network decides on the resource allocation. Different from the majority of previous works that focus on client-based rate adaptation mechanisms, this paper investigates the mobil... View full abstract»

In this paper, we propose a novel joint source-channel coding (JSCC) scheme for scalable video transmission over multiple-input multiple-output (MIMO) systems. By exploiting the diversity of MIMO antennas and forward error correction (FEC)-based protection, our method aims to provide unequal error protection (UEP) for the video layers, which are mapped to appropriate antennas. Moreover, JSCC is al... View full abstract»

Due to the prediction structures employed in video coding, the loss of one packet will affect many following frames. In this paper, a multiple description coding scheme with stagger frame order is proposed for stereoscopic 3-D videos. First, the reference and auxiliary views in stereoscopic sequences will be asymmetrically encoded into one description, whereas the other description will be formed ... View full abstract»

The prevalence of video recording capability, either on surveillance systems or mobile devices, has contributed to the popularity of video data. As a result, video management has become relatively more important than before and, in particular, video retrieval has been one of the main issues in this regard. Traditional video retrieval systems take texts as the inputs to look for similar information... View full abstract»

A low-complexity depth-reliability-based stereomatching algorithm and an efficient scanline memory-merging implementation scheme are proposed in this paper. The developed algorithm analyzes the accuracy of disparity results by using simple local window-based methods and preserves reliable information only. A bidirectional depth propagation flow is then adopted to fill the unreliable segments by us... View full abstract»

Reliance on object or people detection is rapidly growing beyond surveillance to industrial and social applications. The histogram of oriented gradients (HOG), one of the most popular object detection algorithms, achieves high detection accuracy but delivers just under 1 frame/s on a high-end CPU. Field-programmable gate array (FPGA) accelerations of this algorithm are limited by the intensive flo... View full abstract»

Due to the popularity of security cameras in public places, it is of interest to design an intelligent system that can efficiently detect events automatically. This paper proposes a novel algorithm for multiperson event detection. To ensure greater than real-time performance, features are extracted directly from compressed MPEG video. A novel histogram-based feature descriptor that captures the an... View full abstract»