Bahman Zafarifar

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Video content analysis for stilland moving images can be used for various applications, such as high-level semantic-driven operations or pixel-level contentdependent image manipulation. Within video content analysis, sky regions of an image form visually important objects, for which interesting applications at both mentioned levels can be envisaged. This(More)
At algorithmic level, the so called lifting scheme represents the fastest implementation of the Discrete Wavelet Transform (DWT). In this paper, we investigate a novel microarchitectural extension for the DWT based on the lifting scheme. A new fast lifting DWT (FLWT) instruction is introduced as an ISA Extension of a MIPS architecture. Simulations have been(More)
In this paper, an efficient depth-aware image enhancement system is presented. The depth information and well-known depth-cue relative perception are used to enhance 2D still images or videos. Image enhancement has been developed for decades in a lot of fields. However, conventional approaches deal with images in the 2D(x-y) projective plane. The(More)
This paper presents a skin detection algorithm for TV applications, and investigates the feasibility of its real-time implementation on a DSP and an FPGA platform. We present the details of the algorithm, which combines a flexible histogram-based color feature, and a color-constrained texture feature suitable for skin detection. First we show the(More)
This paper presents an algorithm for localization and classification of subtitles in TV videos. We extend an existing static-region detector with object-based adaptive temporal filtering, bounding box computation around blobs of refined static regions, bounding box categorization based on geometry and filling degree of static regions, and subtitle(More)
This paper evaluates a case study where a previously reported texture-adaptive skin detection algorithm is applied for TV image enhancement. A color-only skin detector of an existing high-end TV chip is extended with a texture feature, enabling exclusion of skin-colored textured areas. We report the performance in terms of detection result, and in terms of(More)
Current image enhancement in televisions can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with specifically optimized algorithms. In this paper we present an algorithm and feature model for segmenting grass areas in video sequences. The system employs adaptive color and position models for creating a(More)
Currently, television sets with flat plasma and LCD screens with improved resolutions and better color quality are emerging. To fully utilize their capabilities, lower resolution Standard Definition video material is enhanced. During such process, existing noise can become clearly visible, or additional artifacts may be introduced. These impairments are(More)
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