IEEE Transactions on Circuits and Systems for Video Technology

In this paper, we present an adaptive nonparametric solution to the image parsing task, namely, annotating each image pixel with its corresponding category label. For a given test image, first, a locality-aware retrieval set is extracted from the training data based on superpixel matching similarities, which are augmented with feature extraction for better differentiation of local superpixels. The... View full abstract»

In this paper, we study discriminative analysis of symmetric positive definite (SPD) matrices on Lie groups (LGs), namely, transforming an LG into a dimension-reduced one by optimizing data separability. In particular, we take the space of SPD matrices, e.g., covariance matrices, as a concrete example of LGs, which has proved to be a powerful tool for high-order image feature representation. The d... View full abstract»

This paper presents a novel video-based face recognition algorithm by using a sequential sampling and updating scheme, named sequential sample consensus. The proposed algorithm aims at providing a sequential scheme that can be applied to streaming video data. Different from existing approaches, the training video sequences serve as the sample space, and the person's identity in the testing sequenc... View full abstract»

We propose an efficient and robust solution, called sparse discriminative multimanifold Grassmannian analysis (SDMMGA), for face recognition based on image set (FRIS), where each set contains face images belonging to the same subject and typically covering large variations. In our work, linearity constrained hierarchical agglomerative clustering (LC-HAC) method is first employed to partition each ... View full abstract»

In this paper, we propose a novel method for unusual human activity detection in crowded scenes. Specifically, rather than detecting or segmenting humans, we devised an efficient method, called a motion influence map, for representing human activities. The key feature of the proposed motion influence map is that it effectively reflects the motion characteristics of the movement speed, movement dir... View full abstract»

Common action recognition methods describe an action sequence along with its time axis, i.e., first extracting features from the x y plane, and then modeling the dynamic changes along with the time axis. Other than the ordinary x y plane-based representation, other views, e.g., xt slice-based representation, may be more efficient to distinguish different actions. In this paper, we investigate diff... View full abstract»

A no-reference (NR) video quality assessment (VQA) method is presented for videos distorted by H.264/Advanced Video Coding (AVC) and MPEG-2. The assessment is performed without access to the bitstream. Instead, we analyze and estimate coefficients based on decoded pixels. The approach involves distinguishing between the two types of videos, estimating the level of quantization used in the I-frames... View full abstract»

The mode decision strategy adopted in the High Efficiency Video Coding test model increases the complexity drastically. In this paper, we present a course of low-complexity fast mode decision algorithms. First, the depth information of the colocated block from a previous frame is used to predict the size of current block. Next, for a certain sized block, the inter-prediction residual is analyzed t... View full abstract»

In addition to the rate-distortion (R-D) behavior, in a real-time wireless video communication system, the end-to-end delay would also significantly affect the overall video reception quality. To analyze, control, and optimize the R-D behavior under the end-to-end delay constraint, in this paper we extend the traditional R-D optimization (RDO) for the wireless video communication system and formul... View full abstract»

Content-based video copy detection is undoubtedly one of the most effective solutions to video content tracing and copyright protection. It extracts features from videos and determines whether a copy occurs by comparing the extracted features. While a lot of work has been reported to address this problem with good performance, very few considered it from the perspective of a dynamic searching proc... View full abstract»

Stereo vision is a well-known technique for acquiring depth information. In this paper, we propose a real-time high-quality stereo vision system in field-programmable gate array (FPGA). Using absolute difference-census cost initialization, cross-based cost aggregation, and semiglobal optimization, the system provides high-quality depth results for high-definition images. This is the first complete... View full abstract»

Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes due to the observation that pedestrians indeed exhibit discriminative contrast texture. Our main contributions are the first to design a local statistical multichannel descriptor to incorporate both color and gradient in... View full abstract»