Video based Saliency Detection
نویسندگان
چکیده
منابع مشابه
Video based Saliency Detection
Saliency Detection is very important for image and video processing application. This paper presents Saliency Detection for video processing. The sample video is converted in the form of Frames. Now Saliency algorithm is apply to the frames of images to filter the background from the video frames. The frames are filter in four parts, first the Hyper Complex Form algorithm is apply to separate t...
متن کاملA spatiotemporal weighted dissimilarity-based method for video saliency detection
Accurately modeling and predicting the visual attention behavior of human viewers can help a video analysis algorithm find interesting regions by reducing the search effort of tasks, such as object detection and recognition. In recent years, a great number and variety of visual attention models for predicting the direction of gaze on images and videos have been proposed. When a human views vide...
متن کاملUsability of Cluster Based Co-Saliency in Video Foreground Detection
Ability of human visual system to detect prominent regions in an image is fast, reliable and efficient. Computational modeling of this extraordinary behavior is termed as saliency detection. Saliency detection identifies salient regions in an image and is relevant in many computer vision applications such as object recognition, image segmentation, image retrieval etc. The term co-saliency can b...
متن کاملMulti-Feature Based Visual Saliency Detection in Surveillance Video
The perception of video is different from that of image because of the motion information in video. Motion objects lead to the difference between two neighboring frames which is usually focused on. By far, most papers have contributed to image saliency but seldom to video saliency. Based on scene understanding, a new video saliency detection model with multi-features is proposed in this paper. ...
متن کاملCompressed-Sampling-Based Image Saliency Detection in the Wavelet Domain
When watching natural scenes, an overwhelming amount of information is delivered to the Human Visual System (HVS). The optic nerve is estimated to receive around 108 bits of information a second. This large amount of information can’t be processed right away through our neural system. Visual attention mechanism enables HVS to spend neural resources efficiently, only on the selected parts of the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/16075-5176