Detection and localization of regions of images that attract immediate human visual attention
is currently an intensive area of research in computer vision. The capability of automatic …

Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

Optical remote sensing images (RSIs) have been widely used in many applications, and one
of the interesting issues about optical RSIs is the salient object detection (SOD). However …

The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …

Video summarization is the method of extracting key frames or clips from a video to generate
a synopsis of the content of the video. Generally, video is compressed before storing or …

Arising from the various object types and scales, diverse imaging orientations, and cluttered
backgrounds in optical remote sensing image (RSI), it is difficult to directly extend the …

Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …

The diverse spatial resolutions, various object types, scales and orientations, and cluttered
backgrounds in optical remote sensing images (RSIs) challenge the current salient object …

Background: The massive database of videos is growing day by day in this era. Analyzing
such huge data is always a time-consuming process. The effective use of video content …

During the last few years, several technological advances have led to an increase in the
creation and consumption of audiovisual multimedia content. Users are overexposed to …