一種面向對象的視頻分割算法
VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING
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摘要: 該文討論面向對象編碼的視頻分割算法。由于數學形態(tài)學工具能夠很好地處理諸如大小、形狀、對比度和連通性等對圖像分割非常重要的特征,這種技術常用來對圖像進行幀內分割,得到一些具有某種相似性的區(qū)域。然后利用運動信息進行區(qū)域合并。為了實現區(qū)域合并,該文提出一種新方法來判定局部運動。設計了一個分割細化步驟,對區(qū)域邊界點進行再判決,可以得到更好的結果。實驗結果表明,該文提出的方法對于平穩(wěn)背景和運動背景中的視頻對象分割都是有效的。Abstract: This paper deals with automatic object segmentation method for object-oriented video encoding. Since methods of mathematical morphology are capable of detecting geometrical features such as size, contrast, or connectivity which are important to image segmentation. Intra-frame segmentation is in first step performed using morphological tools. After obtaining different areas in intra-frame segmentation step, a few video object areas can be merged according to their motion parameters. Finally, a new technique for the detection of motion of a local area is proposed. A two-dimensional binary model can be obtained from the object of interest. By introducing a refinement step, the border pixels can be categorized into one of the neighboring objects so as to achieve a minimum predictive error that computed from its model parameters. Experimental results demonstrate a successful segmentation of objects located in a still or moving background.
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