Bayesian Saliency via Low and Mid Level Cues: Appendix
نویسندگان
چکیده
1 Database Introduction We present empirical evaluation and analysis of the proposed Bayesian based methods on the MSRA salient object database [1] with the labeled ground truth [2]. The MSRA data set includes 5000 images and the salient objects of 10000 images are manually segmented by [2] with pixel-wise accuracy. In the section IV, we show some details of the database and we evaluate our algorithm against 5 state-of-the-art methods on the database.
منابع مشابه
A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image
Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection. Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or hig...
متن کاملSparsity-guided saliency detection for remote sensing images
Traditional saliency detection can effectively detect possible objects using an attentional mechanism instead of automatic object detection, and thus is widely used in natural scene detection. However, it may fail to extract salient objects accurately from remote sensing images, which have their own characteristics such as large data volumes, multiple resolutions, illumination variation, and co...
متن کاملRGBD Salient Object Detection: A Benchmark and Algorithms
Although depth information plays an important role in the human vision system, it is not yet well-explored in existing visual saliency computational models. In this work, we first introduce a large scale RGBD image dataset to address the problem of data deficiency in current research of RGBD salient object detection. To make sure that most existing RGB saliency models can still be adequate in R...
متن کاملColor constancy by combining low-mid-high level image cues
In general, computational methods to estimate the color of the light source are based on single, low-level image cues such as pixel values and edges. Only a few methods are proposed exploiting multiple cues for color constancy by incorporating pixel values, edge information and higher-order image statistics. However, expanding color constancy beyond these low-level image statistics (pixels, edg...
متن کاملSaliency Detection within a Deep Convolutional Architecture
To tackle the problem of saliency detection in images, we propose to learn adaptive mid-level features to represent image local information, and present an efficient way to calculate multi-scale and multi-level saliency maps. With the simple k-means algorithm, we learn adaptive low-level filters to convolve the image to produce response maps as the low-level features, which intrinsically captur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012