Efficient Automatic Text Location Method and Content-Based Indexing and Structuring of Video Database
✍ Scribed by Hae-Kwang Kim
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 409 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1047-3203
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✦ Synopsis
semantic audiovisual objects for indexing and retrieval of image and video documents has used relatively low-level An efficient automatic text detection and location method for video documents is proposed and its application for the perceptual content analysis such as texture (Picard and content-based retrieval of video is presented and discussed. Minka, 1995), shape (Sclaroff and Pentland, 1995; Tegolo, Target frames are selected at fixed time intervals from shots 1994), and color (Sakamoto et al., 1994) in image data, and detected by a scene-change detection method. For each selected various sound parameters for audio (Blum et al., 1995). frame, segmentation by color clustering is performed around Automatic or semi-automatic methods are favored, for the color peaks using a color histogram. For each color plane, textsake of excluding subjectivism and saving the labor cost lines are detected using heuristics, and the temporal and spatial and tedious repetitive work associated with human inposition and the text-image of each text-line are stored in a dexing. It turns out that some important semantic clues database. Experimental results for text detection in video imcan be recovered directly from the perceptual contents. ages and the performance of the method are reported for various Recently, researchers have tried to propose methods for video documents. A user interface for text-image based browsing is designed for direct content-based access to video docu-semantic speech or text-based retrieval of video. Some ments, and other applications are discussed. © 1996 Academic Press researchers have proposed the textual indexing of nontextual documents based on analyzing neighboring textual parts with IR technology (Agosti et al., 1995). A simplified