Temporal Segmentation of Video Sequences for Content-Based Coding
نویسندگان
چکیده
In this paper, we present an overview of the state of the art of segmentation based video coding aimed at low-bit rate application. The most significant contribution is the algorithm for the segmentation of videoconference image sequences for content-based coding. The segmentation is based on motion estimation trough the computation of the optical flow field and motion segmentation by applying a Graph-Theoretical clustering. The algorithm will be added to the video codecs of the OpenH323 project which is based on H.323 ITU-T Recommendation. This visual collaboration environment for Desktop, composed of terminals, gatekeepers and MCU (Multipoint Control Unit), has already been implemented and tested. It is particularly convenient for academics implementation, the software is freely distributed, and its code can be modified according to the needs of the user. However, the first tests using the H.261 codec showed a video delay of 3 seconds, confirming the need to optimize the video codec.
منابع مشابه
Traffic Scene Analysis using Hierarchical Sparse Topical Coding
Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and successful unsupervised methods for complex traffic scene analysis is based on topic models. In this pa...
متن کاملAdaptive Spectral Separation Two Layer Coding with Error Concealment for Cell Loss Resilience
This paper addresses the issue of cell loss and its consequent effect on video quality in a packet video system, and examines possible compensative measures. In the system's enconder, adaptive spectral separation is used to develop a two-layer coding scheme comprising a high priority layer to carry essential video data and a low priority layer with data to enhance the video image. A two-step er...
متن کاملCoding-oriented video segmentation inspired by MRF models
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...
متن کاملA VOP generation tool: automatic segmentation of moving objects in image sequences based on spatio-temporal information
The new MPEG-4 video coding standard enables content-based functionalities. In order to support the philosophy of the MPEG-4 visual standard, each frame of video sequences should be represented in terms of video object planes (VOP’s). In other words, video objects to be encoded in still pictures or video sequences should be prepared before the encoding process starts. Therefore, it requires a p...
متن کاملReal-time preprocessing and video object segmentation for high compression and content-based MPEG-4 coding
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...
متن کامل