In this paper we present the multimedia content extraction method based on region and object segmentation. The process of content extraction represents one step in solving the problem of content adaptation. Adaptation means the preparation and delivery of content that matches the resources of the connected terminal or network in an optimal way. The process of multimedia content extraction consists of two stages: semantic video modeling and video segmentation. The result of semantic video modeling is the representation of raw data in a more structured form, and it is essential in the following stage. Video segmentation means the partition of an image into a set of non overlapping homogenous regions whose union is the entire image. The presented segmentation methods are edge-based, region-based and motion-based, and are used for moving or static object detection.