Shot-boundary detection on video / "Segmentação automática de tomadas em vídeo"

AUTOR(ES)

Thiago Teixeira Santos

DATA DE PUBLICAÇÃO

2004

RESUMO

Visual content based information retrieval is an area of increasing importance due to the large volume of available material (digital images and videos), shared and distributed mainly by the internet, and the processing power achieved by personal computer in the last ten years. New ways to consume digital video and to manipulate and explore its visual information can be made by appropriately organizing and indexing this material. The shot boundary detection is a fundamental tool to video abstraction and structuring, combining near frames into sequences with similar context, segments with space and time unity. This work presents the basic concepts about shot boundary detection, traditional methods used and several experimental results obtained from a real TV data set. The distribution of differences of neighboring frames, calculated from histogram comparison, is used to define the transitions between frames and to obtain better parameters for segmentation. Our experimental results show the superiority of the histogram intersection method over other measures. Our main contribution is the development of a new algorithm based on the twin-comparison method, extended with local analysis of visual content variation between video frames. This algorithm was tested over hours of TV data, and performs better than the original method.

ASSUNTO(S)

shot-boundary detection segmentação de vídeo multimídia multimedia

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