Object segmentation is a problem within the scope of MPEG-4 standardization activities. This paper proposes a novel technique to extract the moving objects in the video sequences. Our approach is based on the integration of mosaic-based temporal segmentation and color-based spatial segmentation. The mosaic representation of video allows us to fully exploit the spatio-temporal information in the...

Segmentation is an important process in many aspects of multimedia applications. Fast and perfect segmentation of moving objects in video sequences is a basic task in many computer visions and video investigation applications. Particularly Human detection is an active research area in computer vision applications. Segmentation is very useful for tracking and recognition the object in a moving c...

In this paper, we propose a method for combining audio and video for segmentation and classification. The objective of segmentation is to detect the category change point such news to advertisement. The classification system classify the audio-video data into one of the predefined categories such as news, advertisement, sports, serial and movies. Mel frequency cepstral coefficients( MFCC) are u...

Video segmentation is to partition the video into several semantically consistent spatio-temporal regions. It is a fundamental computer vision problem in many applications, such as object tracking, activity recognition, video analytics, summarization and indexing. However, there exists several remaining issues to be addressed. First, most of video segmentation methods have worse segmentation qu...

The tremendous growth in video data calls for efficient and flexible access mechanisms. In this paper, we propose an ontology-driven framework for presentation video annotation and access. The goal is to integrate ontology into video systems to improve users’ video access experience. To realize ontology-driven video annotation, the first and foremost step is video segmentation. Current research...

Video scene segmentation is the first step towards automatic video annotation. For efficient video indexing and retrieval first step is to divide the video into shots and then classify the similar shots into scenes. In this paper we have discussed some existing algorithms for shot boundary detection, key frame extraction and classification of similar shots into scenes. The task of video segment...

Video segmentation is a basic step in many video processing applications and automatic video indexing is an important feature in the design of a video database. Wavelet transform has emerged as a powerful tool for analysis and efficient compression of visual information. In this application presentation we review various wavelet based techniques for video segmentation and indexing reported in t...

This paper presents a new and efficient block-based motion segmentation method based on a novel motion vectors consistency model. In essence, the method utilizes the motion vectors extracted from the video encoding process and groups the associated blocks by region growing technique to achieve motion segmentation. A new motion vector consistency criterion is also introduced to support this bloc...

This paper describes a technique for segmenting video using hidden Markov models (HMM). Video is segmented into regions defined by shots, shot boundaries, and camera movement within shots. Features for segmentation include an image-based distance between adjacent video frames, an audio distance based on the acoustic difference in intervals just before and after the frames, and an estimate of mo...

This paper deals with video segmentation in vision systems. We focus on the maintenance of background models in long-term videos of changing environment which is still a real challenge in video surveillance. We propose an original weakly supervised method for learning contextual variations in videos. Our approach uses a clustering algorithm to automatically identify different contexts based on ...