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Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in any clusters, these methods are likely to lead to undesired results. To address this issue, this paper presents a new approach called bipolar grouping that is targeted on extracting the groups from the data while excluding...
A novel approach is presented to detect contour of object. Firstly, the zero-cross operator to imitate the visual receptive field is used to detect edge of image. Secondly, facing the large amount of noise in complex background, the neighborhood description operator is designed, and the neighborhood information of interesting point is analyzed as well. Then the contours of objects are acquired by...
Corner detection is an important early vision problem. In early vision processing of the mammalian visual system, the oriented tuned, contrast-driven cells in the visual cortex have the problems of positional and orientational uncertainty. That means the oriented receptive fields (RFs) of simple cells can not detect the orientational information of the line ends and corners efficiently. In this paper,...
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking systems, leading to an increased need for independent comparisons. However, existing evaluations are geared towards object recognition and image retrieval, and their results have limited validity for real-time visual tracking...
An audio-visual voice activity detector that uses sensors positioned distantly from the speaker is presented. Its constituting unimodal detectors are based on the modeling of the temporal variation of audio and visual features using hidden Markov models; their outcomes are fused using a post-decision scheme. The Mel-frequency cepstral coefficients and the vertical mouth opening are the chosen audio...
In shot boundary detection, the key technology is to compute the visual content discontinuity values between consecutive video frames. In this paper, a unified framework is proposed to detect the shot boundaries and extract the keyframes of a shot. Firstly, the scale invariant feature transform (SIFT) is adopted to compute the visual content discontinuity values. Then a new method, which is called...
This paper proposes a novel content-based copy retrieval scheme for video copy identification. Its goal is to detect matches between a doubtful video and the ones stored in the database of the legal holders of the videos. Due to various transformations the copy may has, we use visual words vector as a representation of a frame which is based on SIFT descriptor. Unlike traditional bag-of-words (BoW)...
A biologically motivated salient regions detection approach is proposed to identify the salient regions within complex natural images. Multi-scale image features such as intensity, color and orientation are extracted to get some feature maps. The log spectra of the feature maps are analyzed in frequency spectrum domain and the spectra residual are extracted. Then the corresponding feature saliency...
In this paper, we propose adopts a fast but effective block-based segmentation method to extract the regions of interest. Distributing bit allocation methods depends on the region/content-based, which directly control bit allocation among different regions so as to achieve better visual quality in the regions of interest. Our algorithm can effectively enhance the perceptual quality for the regions...
Saliency detection and local feature extraction for 2D images have received extensive attention recently. In this paper, we propose saliency detection and feature extraction techniques for 3D visual data. Our algorithm directly works in 3D scale space and detects interesting regions in different scales. We then extract a local descriptor based on gradient location-orientation histogram which is invariant...
This paper describes a new video event detection framework based on subspace selection technique. With the approach, feature vectors presenting different kinds of video information can be easily projected from different modalities onto an unified subspace, on which recognition process can be performed. The approach is capable of discriminating different classes and preserving the intra-modal geometry...
A novel target pseudo-color image fusion algorithm for visual and infrared images is proposed in this paper based on image features in wavelet domain. After wavelet decomposed from source images, edge features are extracted from each low frequency component. The fusion rules are defined by the edge information, using local modulus maximum rule for edge pixels and its sub-band neighboring pixels, and...
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