The identification of objects in video sequences, that is, video segmentation, plays a major role in emerging interactive multimedia services, such as those enabled by the ISOMPEG-4 andMPEG-7 standards. In this context, assessing the adequacy of the identified objects to the application targets, that is, evaluating the segmentation quality, assumes a crucial importance. Video segmentation techn...

The identification of objects in video sequences, i.e. video segmentation, plays a major role in emerging multimedia interactive services, such as those enabled by the ISO MPEG-4 and MPEG-7 standards. In this context, assessing the adequacy of the identified objects to the application targets, i.e. the evaluation of segmentation quality, assumes a crucial importance. Video segmentation technolo...

Various video processing applications, such as tracking, requires low complexity and reliable segmentation of objects. Global motion and background clutter often acts as key constraints to perform reliable segmentation. In this paper, we propose a video segmentation algorithm for tracking application that handles these constraints by operating on high and low frequency wavelet bands simultaneou...

Video object segmentation, aiming to segment the foreground objects given annotation of first frame, has been attracting increasing attentions. Many state-of-the-art approaches have achieved great performance by relying on online model updating or mask-propagation techniques. However, most models require high computational cost due fine-tuning during inference. Most based are faster but with re...

We propose a novel approach for segmentation of human objects, including face and body, in image sequences. Object segmentation is important for achieving a high compression ratio in modern video coding techniques, e.g., MPEG-4 and MPEG-7, and human objects are usually the main parts in the video streams of multimedia applications. Existing segmentation methods apply simple criteria to detect h...

This paper addresses the issue of segmentation and recognition of text embedded in video sequences from their associated text image sequence extracted by a text detection module. To this end, we propose a probabilistic algorithm based on Bayesian adaptive thresholding and Monte-Carlo sampling. The algorithm approximates the posterior distribution of segmentation thresholds of text pixels in an ...

With the extensive potential applications of computer technologies, automatic object segmentation plays a more and more important role in digital video processing, pattern recognition, and computer vision. In this paper, we propose an automatic human body segmentation system mainly consisting of human body detection and object segmentation. Firstly, an automatic human body detector is designed ...