Publication | Closed Access
Multi-Feature Fusion for Crime Scene Investigation Image Retrieval
15
Citations
12
References
2017
Year
Unknown Venue
EngineeringFeature DetectionImage RetrievalBiometricsInformation ForensicsMulti-feature FusionImage SearchImage ForensicsImage AnalysisPattern RecognitionPolice ForceMachine VisionImage SimilarityFeature FusionComputer VisionCsi ImagesCsi Image RetrievalMultilevel FusionContent-based Image Retrieval
Based on a large scale crime scene investigation (CSI) image database, an effective and efficient CSI image retrieval system has been proposed to empower the investigative work of the police force. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is proposed for CSI images, which is shown to be simple and effective. (2) the use of GIST descriptor on CSI images for the first time and combined with color histogram and the DCT domain texture feature as a fused feature, which describes CSI images from different aspects including color, texture, and scene content. Experimental results prove that the proposed method is effective for CSI image retrieval.
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