• Journal of the Korea Convergence Society
• /
• v.8 no.6
• /
• pp.29-36
• /
• 2017

In this paper, we propose a method for generating improved saliency map by learning multiple features to improve the accuracy and reliability of saliency map which has similar result to human visual perception type. In order to overcome the inaccurate result of reverse selection or partial loss in color based salient area estimation in existing salience map generation, the proposed method generates multi feature data based on learning. The features to be considered in the image are analyzed through the process of distinguishing the color pattern and the region having the specificity in the original image, and the learning data is composed by the combination of the similar protrusion area definition and the specificity area using the LAB color space based color analysis. After combining the training data with the extrinsic information obtained from low level features such as frequency, color, and focus information, we reconstructed the final saliency map to minimize the inaccurate saliency area. For the experiment, we compared the ground truth image with the experimental results and obtained the precision-recall value.

• The Journal of the Korea Contents Association
• /
• v.11 no.6
• /
• pp.18-25
• /
• 2011

Salient object attracts more and more attention from researchers due to its important role in many fields of multimedia processing like tracking, segmentation, adaptive compression, and content-base image retrieval. Usually, a saliency map is binarized into black and white map, which is considered as the binary mask of the salient object in the image. Still, the threshold is heuristically chosen or parametrically controlled. This paper suggests using the global optimal threshold to perform saliency map thresholding. This work also considers the usage of multi-level optimal thresholds and the local adaptive thresholds in the experiments. These experimental results show that using global optimal threshold method is better than parametric controlled or local adaptive threshold method.

• Smart Media Journal
• /
• v.2 no.2
• /
• pp.8-13
• /
• 2013

Nowadays, the saliency region detection has become a popular research topic because of its uses for many applications like object recognition and object segmentation. Some of recent methods apply color distinctiveness based on an analysis of statistics of color image derivatives in order to boosting color saliency can produce the good saliency maps. However, if the salient regions comprise more than half the pixels of the image or the background is complex, it may cause bad results. In this paper, we introduce the method to handle these problems by using maximum symmetric surround. The results show that our method outperforms the previous algorithms. We also show the segmentation results by using Otsu's method.

• Journal of the Korean Society for Precision Engineering
• /
• v.25 no.2
• /
• pp.131-139
• /
• 2008

This paper presents a new saliency map which is constructed by providing dynamic weights on individual features in an input image to search ROI(Region Of Interest) or FOA(Focus Of Attention). To construct a saliency map on there is no a priori information, three feature-maps are constructed first which emphasize orientation, color, and intensity of individual pixels, respectively. From feature-maps, conspicuity maps are generated by using the It's algorithm and their information quantities are measured in terms of entropy. Final saliency map is constructed by summing the conspicuity maps weighted with their individual entropies. The prominency of the proposed algorithm has been proved by showing that the ROIs detected by the proposed algorithm in ten different images are similar with those selected by one-hundred person's naked eyes.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.66 no.5
• /
• pp.765-771
• /
• 2017

This paper presents concurrent design methods of surface permanent magnet synchronous machines for saliency-tracking self-sensing position estimation. Magnetic saliency for the self-sensing is created by stator pole saturation due to the rotor zigzag leakage flux. The power conversion properties such as saliency ratio, torque ripple, and efficiency vary according to motor design. The property change due to design modification is analysed by using finite element analysis, and with the appropriate design modification, proper saliency is created while preserving their power conversion capabilities.

• Proceedings of the KAIS Fall Conference
• /
• 2012.05b
• /
• pp.527-530
• /
• 2012

본 논문은 윤곽선이 두드러지는 Saliency Map모델을 생성하고 객체 후보 영상을 획득하여 객체를 추출할 수 있는 기법에 관한 연구이다. 제안하는 기법은 객체의 윤곽선 정보가 두드러지는 Saliency Map을 생성하기 위해 에지(Edge), 초점(Focus), 엔트로피(Entropy)를 특징 정보로써 사용하고, 획득한 Saliency Map의 임계화 과정 및 라벨링 과정을 통해 배경 영역을 제거한 객체 후보 영상을 획득한다. 이후 Mean Shift Segmentation 알고리즘을 적용한 영상의 세그먼트별 객체 후보 영상의 픽셀 평균값을 적용한 영상을 다시 라벨링 과정을 이용하여 객체를 추출한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2013.11a
• /
• pp.213-216
• /
• 2013

본 논문에서는 객체 위주의 컬러 영상 검색을 위하여 영상의 saliency map을 이용해 객체 중심의 영상을 생성하고, 객체와 그 주변 영역에서의 대표 색상이 가지는 통계적 특성과 공간적 분포 정보를 이용하는 방법을 제안한다. 먼저, 영상의 saliency map을 이진화하여 영상을 객체/배경으로 분할하고 객체를 중심으로 객체/배경의 비율이 일정한 일정 크기의 영상을 생성한다. 생성된 영상에서 대표 색상을 추출하고, 각 색상이 영상에서 어떻게 분포하는가를 나타내는 이진 공간분포 지도를 형성한다. 그 후 영상 간의 대표 색상마다 이진 공간분포의 차이를 비교함으로써, 색상의 통계적 특성과 공간적 분포가 동시에 반영된 특징으로 영상을 검색한다. 본 논문에서 제안한 saliency map을 이용한 대표 색상 기반의 영상 검색 기법은 기존의 대표 색상 기반의 영상 검색보다 우수한 성능을 보여준다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.8 no.2
• /
• pp.213-218
• /
• 2013

In this paper, a video based ship detection method is proposed to monitor port efficiently. Visual saliency map algorithm and mean shift algorithm is applied to detect moving ships don't include background information which is difficult to track moving ships. It is easy to detect ships at the port using saliency map algorithm, because it is very effective to extract saliency object from background. To remove background information in the saliency region, image segmentation and clustering using mean shift algorithm is used. As results of detecting simulation with images of a camera installed at the harbor, it is shown that the proposed method is effective to detect ships.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.1
• /
• pp.88-95
• /
• 2017

In this paper, we present a saliency detection method using entropy weight and Weber contrast in the wavelet transform domain. Our method is based on the commonly exploited conventional algorithms that are composed of the local bottom-up approach and global top-down approach. First, we perform the multi-level wavelet transform for the CIE Lab color images, and obtain global saliency by adding the local Weber contrasts to the corresponding low-frequency wavelet coefficients. Next, the local saliency is obtained by applying Gaussian filter that is weighted by entropy of wavelet high-frequency subband. The final saliency map is detected by non-lineally combining the local and global saliencies. To evaluate the proposed saliency detection method, we perform computer simulations for two image databases. Simulations results show the proposed method represents superior performance to the conventional algorithms.

• Journal of KIISE:Computer Systems and Theory
• /
• v.36 no.3
• /
• pp.199-209
• /
• 2009

In this paper, we suggest a stroke level of detail (LOD) based on a saliency density. On painter]y rendering, the stroke LOD has an advantage of making the observer concentrate on the main object and improving accuracy of expression. For the stroke LOD, it is necessary to classify the detailed and abstracted area. We divide the area on the basis of saliency distribution and the level of detailed expression is controlled based on the saliency information. 'We define that the area of which the saliency distribution is high is a major subject that an artist tries to express, it is described in detail. The area of which the saliency distribution is low is abstractly described. Each divided area has the abstraction level. And by adapting the brushes of which sizes are appropriate to each level, it is possible to express the area which needs to be expressed in details from the one which needs to be expressed abstractly.