Emerging video coding standards such as MPEG-4 have taken a radical departure from previous video coding standards with the emphasis being placed on content-based functionality and interactivity. Instead of representing video sequences as rectangular arrays of pixels MPEG-4 represents each scene as a composition of video object planes (VOP’s) with each VOP corresponding to one semantically mean...

In this paper, we introduce an object segmentation algorithm that can be used in object oriented video coding, computer vision, target tracking or video sequence analysis. The algorithm is based on two kinds of information from a video sequence: the color segmentation which provides the spatial domain information and the motion estimation which provides the temporal information. The DWT based M...

Video structure extraction is essential to automatic and content-based organization, retrieval and browsing of video. However, while many robust shot segmentation algorithms have been developed, it is still difficult to extract structures from a film. In this paper, we present a novel video and audio segmentation scheme, in which audio and image information is integrated in video structure extr...

Recently the progress in technology and flourishing applications open up new forecast and defy for the image and video processing community. Compared to still images, video sequences afford more information about how objects and scenarios change over time. Quality of video is very significant before applying it to any kind of processing techniques. This paper deals with two major problems in vi...

This paper presents a method to classify audio-video data into one of seven classes: advertisement, cartoon, news, movie, and songs. Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data. The color histogram features extracted from the images in the video clips...

This paper reports recent work at ORL on segmentation of digital audio/video recordings. Firstly, we describe an audio segmentation algorithm that partitions a soundtrack into manageably sized segments for speech recognition. Secondly, we present an algorithm for detecting camera shot-break locations in the video. The output of these two algorithms is combined to produce a semantically meaningf...

Video segmentation requires separating foreground from background, but the general problem extends to more complicated scene segmentations of different objects and their multiple parts. We develop a new approach to interactive multi-label video segmentation where many objects are segmented simultaneously with consistent spatio-temporal boundaries, based on intuitive multi-colored brush scribble...

Video segmentation for object based video coding according to MPEG-4 should be able to segment interested objects in video sequence clearly. This paper presents the object segmentation algorithm which image features are combined to use in segmentation process following to characteristic of video signal. Because the combination of many features in video sequence is a method that can achieve high...

Segmentation of objects in image sequences is very important in many aspects of multimedia applications. In the second generation image/video coding, images are segmented into objects to achieve efficient compression by coding the contour and texture separately. As the purpose is to achieve high compression performance, the objects segmented may not be semantically meaningful to human observers...

Based on a simple temporal structural model of news program, this paper presents a practical solution to automatic news story segmentation by integrating syntactic and semantic methods. First, a syntactic segmentation method is used to detect the shot boundaries in order to partition video frames into video shots. Then a semantic segmentation method based on the graph-theoretical cluster analys...