We present a video analysis and indexing engine, that can perform fully automatic scene segmentation and feature extraction, in the context of a television archive. A template-based indexing engine is proposed, which interacts with a general-purpose video analysis server (providing spatio-temporal segmentation, feature extraction, feature clustering and feature matching services) and a template...

This paper presents an approach to the segmentation of video sequences that is inspired by Markov random eld (MRF) models and is aimed at region-based video compression. Two goals of the segmentation algorithm are considered: to assure a rate-e cient partitioning of video sequences and to provide regions that are meaningful for human observers (\coding for content"). To address both issues we e...

We present a new approach to video sequence segmentation into individual shots. Unlike previous approaches, our technique segments the video sequence by combining two streams of information extracted from the visual track with audio track segmentation information. The visual streams of information are computed from the coarse data in a 3-D wavelet decomposition of the video track. They consist ...

Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Here we are using two different methods for comparison, using GIST(Gesture Interpretation using Spatio-Temporal Analysis, where Spatio-Temporal means which has both space as well as time properties like the movement of hand which shows the variation in both space as well as tim...

We propose a trapped-ball method for image segmentation, which is fast, supports non-uniformly colored regions, and allows robust region segmentation even in the presence of imperfectly linked region edges. We also introduce two applications by using the trapped-ball image segmentation, for temporal coherent animations generation and editing. First, we present a system for vectorizing 2D raster...

To address multiple motions and deformable objects’ motions encountered in existing region-based approaches, an automatic video object (VO) segmentation methodology is proposed in this paper by exploiting the duality of image segmentation and motion estimation such that spatial and temporal information could assist each other to jointly yieldmuch improved segmentation results. The key novelties...

A statistical model-based video segmentation algorithm is presented for head-and-shoulder type video. This algorithm uses domain knowledge by abstracting the head-andshoulder object with a blob-based statistical region model and a shape model. The object segmentation problem is then converted into a model detection and tracking problem. At the system level, a hierarchical structure is designed ...

We address semantic video object segmentation via a novel cross-granularity hierarchical graphical model to integrate tracklet and object proposal reasoning with superpixel labeling. Tracklet characterizes varying spatial-temporal relations of video object which, however, quite often suffers from sporadic local outliers. In order to acquire highquality tracklets, we propose a transductive infer...

Fusion of image sequences is a fundamental operation in numerous video applications and usually consists of segmentation, matting and compositing. We present a unified framework for performing these operations on video in the gradient domain. Our approach consists of 3D graph cut computation followed by reconstruction of a new 3D vector field by solving the Poisson equation. We introduce new me...

One key technology of intelligent transportation systems is the use of advanced sensor systems for on-line surveillance to gather detailed information on traffic conditions. Traffic video analysis can provide a wide range of useful information to traffic planners. In this context, the object-level indexing of video data can enable vehicle classification, traffic flow analysis, incident detectio...