Abstract Previous video object segmentation approaches mainly focus on simplex solutions linking appearance and motion, limiting effective feature collaboration between these two cues. In this work, we study a novel efficient full-duplex strategy network ( FSNet ) to address issue, by considering better mutual restraint scheme motion allowing exploitation of cross-modal features from the fusion...

Semi-supervised video object segmentation (VOS) aims to densely track certain designated objects in videos. One of the main challenges this task is existence background distractors that appear similar target objects. We propose three novel strategies suppress such distractors: 1) a spatio-temporally diversified template construction scheme obtain generalized properties objects; 2) learnable dis...

Texture and temporal variations in scenes, and peculiarities of MPEG compression algorithms result in very complex frame-size data sets for any long-duration variable bit rate (VBR) video. A major hurdle in capturing the statistical behavior of such a data trace can be removed by segmentation of all frames into an appropriate number of analytically characterizable classes. However, video-trace ...

MPEG-4 video has been designed as a standard for video and audio compression, content-based functionalities, scalability of texture, images and video, shape coding, robustness in error-prone environment, and face and body animation. With all these functionalities, however, MPEG-4 still has limitations in practical software development. In this paper, we developed the frame preprocessing for rea...

This paper tackles the problem of surveillance video content modelling. Given a set of surveillance videos, the aims of our work are twofold: firstly a continuous video is segmented according to the activities captured in the video; secondly a model is constructed for the video content, based on which an unseen activity pattern can be recognised and any unusual activities can be detected. To se...

We present here a prototype video analysis and retrieval system, called NeTra-V, that is being developed to build an object-based video representation for functionalities such as search and retrieval of video objects. A region-based content description scheme using low-level visual descriptors is proposed. In order to obtain regions for local feature extraction, a new spatio-temporal segmentati...

This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field, the intensity segmentation field, and the video segmentation field. The notions of distance transformation and Markov random field are used to express spatio-temporal constraints. Given consecutive frames, an optimiz...

A system for detecting and analyzing behavior of a sports person from their facial expression extracted from a sports video from the basis of this project. Shot Segmentation, Object Frame Selection, Image Segmentation, Facial Feature Extraction and Facial Expression Recognition (FER) are the major steps included in developing Cognitive Analysis of Facial Expression Recognition system from Sport...

A video segmentation scheme using stabilized inverse diffusion equations is proposed. The scheme is based on the non-linear scale-space analysis of video lattice. Non-linear diffusion and especially Stabilized inverse diffusion is a very robust method for image segmentation. In this paper the two-dimensional diffusion process has been extended to three dimensions. The segmentation scheme is bas...