International journal of computer science and information technology
Paginering:
Jaargang 3 (2011) nr. 2 pagina's 78-92
Jaar:
2011
Inhoud:
Rapid development of the multimedia and the associated technologies urge the processing of a hugedatabase of video clips. The processing efficiency lies on the search methodologies utilized in the videoprocessing system. Usage of inappropriate search methodologies may make the processing systemineffective. Hence, an effective video retrieval system is an essential pre-requisite for searching a relevantvideo from a huge collection of videos. In this paper, an effective content based video retrieval systembased on some dominant features such as motion, color and edge is proposed. The system is comprised oftwo stages, namely, feature extraction and retrieval of similar video clips for the given query clip. Priorto perform the feature extraction, the database video clips are segmented into different shots. In thefeature extraction, firstly, the motion feature is extracted using Squared Euclidean distance. Secondly,color feature is extracted based on color quantization. Thirdly, edge density feature is extracted for theobjects present in the database video clips. When a video clip is queried in the system, the second stage ofthe system retrieves a given number of video clips from the database that are similar to the query clip.The retrieval is performed based on the Latent Semantic Indexing, which measures the similarity betweenthe database video clips and the query clip. The system is evaluated using the video clips of formatMPEG-2 and then precision-recall is determined for the test clip.
Uitgever:
Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ)