IEEE Transactions on Circuits and Systems for Video Technology

This paper describes a visual optimization strategy for scalable video compression. The challenge scalable coding presents is that truncation of an embedded codestream may induce variable and highly visible distortion. To overcome the deficiencies of visually lossless coding schemes, we propose using an adaptive masking slope to model the perceptual impact of suprathreshold distortion arising from... View full abstract»

Fine-granular scalable (FGS) technologies in H.264/AVC-based scalable video coding (SVC) provide a flexible foundation to accommodate different network capacities. To support efficient quality extraction, it is important to obtain the rate-distortion (R-D) or Distortion-Rate (D-R) function of each individual picture or a group of pictures (GOP). In this paper, firstly, the R-D function of SVC FGS ... View full abstract»

In image and video processing field, an effective compression algorithm should remove not only the statistical redundancy information but also the perceptually insignificant component from the pictures. Just-noticeable distortion (JND) profile is an efficient model to represent those perceptual redundancies. Human eyes are usually not sensitive to the distortion below the JND threshold. In this pa... View full abstract»

Image inpainting or image completion is the technique that automatically restores/completes removed areas in an image. When dealing with a similar problem in video, not only should a robust tracking algorithm be used, but the temporal continuity among video frames also needs to be taken into account, especially when the video has camera motions such as zooming and tilting. In this paper, we extend... View full abstract»

Peer-to-peer (P2P) and multicast approaches are two common transmission strategies to provide scalable and cost efficient solutions for video-on-demand (VoD) services. The former approach requires small server resources and provides a negligible delay to users, but the bandwidth requirement inside the network will be rapidly increased when more customers join the video session. On the other hand, ... View full abstract»

A video streaming server needs to adapt its source/channel encoding parameters (or configurations) to changes in network conditions and to differences in users' connection profiles. The adaptation can be achieved by adjusting parameters such as frame rate, error protection ratio, and resolution. Ideally, the server should adapt the serving configurations with respect to the current network and use... View full abstract»

The required real-time and high-rate transfers for multimedia data severely limit the number of video streams that can be delivered concurrently. Resource-sharing techniques address this problem and can be classified into two main classes: stream merging and periodic broadcasting. We evaluate through extensive simulation major resource-sharing techniques from the two classes, considering different... View full abstract»

Motion information is regarded as one of the most important cues for developing semantics in video data. Yet it is extremely challenging to build semantics of video clips particularly when it involves interactive motion of multiple objects. Most of the existing research has focused on capturing and modelling the motion of each object individually thus loosing interaction information. Such approach... View full abstract»

In this paper, we propose a novel motion representation and apply it to abnormality detection and behavior recognition. At first, pointwise correspondences for the foreground in two consecutive video frames are established by performing a salient-region-based pointwise matching algorithm. Then, based on the established pointwise correspondences, a pointwise motion image (PMI) for each frame is bui... View full abstract»

Integrating video coding and denoising is a novel processing paradigm, bringing mutual benefits to both video processing tools. In this paper, we propose a novel video denoising approach of which the main idea is reusing motion estimation resources from the video coding module for video denoising. In most cases, the motion fields produced by real-time video codecs cannot be directly employed in vi... View full abstract»

The highly error-prone nature of wireless environments and limited computational power of mobile devices necessitates the implementation of robust yet simple error concealment in H.264/AVC. In this paper, we propose to use data hiding to facilitate the error concealment on intra-coded frames that utilizes the temporal redundancy in a wireless video bitstream. At the encoder side, the motion vector... View full abstract»

This paper presents a novel, real-time digital image stabilization (DIS) system using a modified proportional integrated (MPI) controller to remove stably unwanted shaking from an image sequence that is captured by a hand-held video camera without affecting the deliberate panning motion of the camera. Researchers have addressed the trade-off problem between the removal of shaking and the preservat... View full abstract»

This paper presents a HD1080p 30-frames/s H.264 intra encoder operated at 140 MHz with just 94 K gate count and 0.72-mm2 core area for digital video recorder or digital still camera applications. To achieve high throughput and low area cost for high-definition video, we apply the modified three-step fast intra prediction technique to reduce the cycle count while keeping the quality as c... View full abstract»

This paper presents an approach of moving vehicle detection and cast shadow removal for video based traffic monitoring. Based on conditional random field, spatial and temporal dependencies in traffic scenes are formulated under a probabilistic discriminative framework, where contextual constraints during the detection process can be adaptively adjusted in terms of data-dependent neighborhood inter... View full abstract»

This paper presents an online feature selection algorithm for video object tracking. Using the object and background pixels from the previous frame as training samples, we model the feature selection problem as finding a good subset of features to better classify object from background in current frame. This paper aims to improve existing methods by taking correlation between features into conside... View full abstract»

We present a key frames selection algorithm based on three iso-content principles (iso-content distance, iso-content error and iso-content distortion), so that the selected key frames are equidistant in video content according to the used principle. Two automatic approaches for defining the most appropriate number of key frames are proposed by exploiting supervised and unsupervised content criteri... View full abstract»

In the above titled paper (ibid., vol. 18, no. 10, pp. 1432-1436, Oct 08), Figs. 3 and 4 were printed incorrectly. The correct figures are presented here. View full abstract»

In the above titled paper (ibid., vol. 18, no. 10, pp. 1347-1360, Oct 08), Fig. 4 was printed incorrectly. The correct figure is presented here. View full abstract»