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This paper presents a simple and effective method to compute the pixel saliency with full resolution in an image. First, the proposed method creates an image representation of four color channels through the modified computation on the basis of Itti et al.[5]. Then the most informative channel is automatically identified from the derived four color channels. Finally, the pixel saliency is computed...
This paper deals with automatically segmenting a person from challenging videos using a pose detector. A state of the art pose detector is used to detect the pose of a person from a frame in the video sequence. The pose is used to extract color and optical flow features to train a conditional random field to provide segmentation on multiple frames. Location from the pose is used to refine the results...
With the development of depth camera technology, it is feasible to get high quality color and depth images synchronously in real time. Thus, RGB-D-based applications are becoming more and more popular, such as pedestrian detection in RGB-D data. As the key point in this application is to search for better descriptions, in this paper we propose a new feature descriptor, Pyramid Depth Self-Similarities...
In this paper we propose a color-based approach for skin detection and interest garment selection aimed at an automatic segmentation of pieces of clothing. For both purposes, the color description is extracted by an iterative energy minimization approach and an automatic initialization strategy is proposed by learning geometric constraints and shape cues. Experiments confirms the good performance...
We propose an image sharpening method that automatically optimizes the perceived sharpness of an image. Image sharpness is defined in terms of the one-dimensional contrast across region boundaries. Regions are automatically extracted for all natural scales present that are themselves identified automatically. Human judgments are collected and used to learn a function that determines the best sharpening...
One goal of projector-camera system is let human finger be used like a mouse to click and drag objects in the projected content. It requires segmentation of the human palm and fingers in the image data captured by the camera, which is a challenging task in the presence of the incessant variation of the projected video content and the shadow cast by the palm and fingers. We describe a coarse-to-fine...
We describe a new concept of human visual perception manipulation using illumination projection. The idea is to alternate material appearance of an object using projector camera feedback and a manipulation technique of an image-based material appearance. Unlike the simple display technique, our approach can manipulate human material perception for any object using the appearance control technique...
In this paper, effective grading of arecanuts is proposed. The Arecanut RGB image is converted into YCBCR color space. Three sigma control limits on color features are determined for effective segmentation of arecanuts. Color features are used for the grading of arecants with the help of support vector machines (SVMs) into two grades i.e. Boiling and Non-boiling nuts effectively. Experimental k-fold...
We combine and extend the previous work on DCT-based image signatures and face detection to determine the visual saliency. To this end, we transfer the scalar definition of image signatures to quaternion images and thus introduce a novel saliency method using quaternion type-II DCT image signatures. Furthermore, we use MCT-based face detection to model the important influence of faces on the visual...
Organic Light Emitting Diode (OLED) has emerged as the new generation display technique for mobile multimedia devices. Compared to existing technologies OLEDs are thinner, brighter, lighter, and cheaper. However, OLED panels are still the biggest contributor to the total power consumption of mobile devices. In this work, we proposed a fine-grained dynamic voltage scaling (FDVS) technique to reduce...
The objective of this paper is to study the performance of human reidentification based on multi-shot SURF and to assess its degradation according to the angular difference between the test and reference video scene view angles. In this context, we propose a new automatic statistical method of acceptance and rejection of SURF correspondence based on the likelihood ratio of two GMMs learned on the...
In wilderness search and rescue, objects not native or typical to a scene may provide clues that indicate the recent presence of the missing person. This paper presents the results of augmenting an aerial wilderness search-and-rescue system with an automated spectral anomaly detector for identifying unusually colored objects. The detector dynamically builds a model of the natural coloring in the scene...
Saliency detection is an important topic for the researches on visual attention selective computation model. This paper aims at the conflict between the local saliency detection and the huge computational cost, and proposes an object-based multi-feature competitive model for visual saliency detection. The proposed model is based on the biologically motivated color-antagonistic model and is advanced...
Display system calibration is of great significance to assure perceptual uniformity. Nevertheless, due to differences in technology and purpose, same colors do not represent precisely the same on different display systems. The goal of this paper is to verify this mismatch and quantify it, aiming at achieving a correlation between displays' technology, purpose and reproduction accuracy. Five modern...
Historically, data fusion has focused on processing hard or physical sensor data while soft or human observed data has been neglected within fusion processes. This human observed data has much to offer towards obtaining comprehensive situational awareness, particularly in a domain such as intelligence analysis where subtle connections and interactions are difficult to observe with physical sensors...
To improve the retrieval accuracy of content-based image retrieval systems, it is important to reduce the “semantic gap” between the visual features and the richness of human semantics. Overexposure in the facial area of an image, which makes parts of the face look unnaturally white, directly affects the impression of the image. If the impression of a human image can be automatically calculated on...
We propose the use of crowdsourcing and human computation to help solve difficult problems in verification and debugging that can benefit from human insight. As a specific scenario, we explain how non-expert humans can assist in the verification process by finding patterns in portions of simulation or execution traces which are represented as images. Such patterns can be used in a variety of ways,...
Color is a basic aspect of human perception and will effect on the people's spirit as one part of living environments. Some experiments have proved that the different color will play an important role on enhancing cognitive task performance, and the people's moods and behaviors can also be changed by the colors. It is said that the different color has been shown to have different associations within...
Moving object segmentation is highly beneficial to human identification and behavior analysis in intelligent video surveillance. The widely-used background subtraction works not well in dynamic scenes. In this paper, the problem is addressed by first localizing the object by tracking and then segmenting it locally via Graph cuts. We also propose a robust tracker combining the merits of two existing...
It is becoming common practice to migrate signal-based video workflows to IT-based Video workflows. Video workflows have some inherent features, including: 1) necessary human involvements in video workflows introduce security and authorization concerns; 2) the frequent change of video workflow contexts requires a flexible approach to acquiring performance data; 3) the content-centric nature of video...
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