In this work, we propose a novel and effective filtration strategy based on the Conditional Random Field (CRF) model to enhance image retrieval. As the CRF ...

Abstract—The need for fast retrieving images has recently increased tremendously in many application areas. SIFT-like local descriptor-based matching is ...

Aug 24, 2014 · In this work, we propose a novel and effective filtration strategy based on the Conditional Random Field (CRF) model to enhance image retrieval.

In this work, we propose a novel and effective filtration strategy based on the Conditional Random Field (CRF) model to enhance image retrieval. As the CRF ...

Retrieving images using saliency detection and graph matching. S Huang, W ... A Filtration Strategy Based on FD-CRF for Image Matching. S Huang, W Wang.

A Filtration Strategy Based on FD-CRF for Image Matching ( SH , WW ), pp. ... Motif Discovery and Feature Selection for CRF-based Activity Recognition ( LZ , XW , ...

In this work, we propose a novel and effective filtration strategy based on the Conditional Random Field (CRF) model to enhance image retrieval. As the CRF ...

Aug 6, 2024 · Shao Huang, Weiqiang Wang: Retrieving images combining saliency detection with IRM.

Retrieving images using saliency detection and graph matching‏. S Huang, W ... A Filtration Strategy Based on FD-CRF for Image Matching‏. S Huang, W Wang ...

Shao Huang, Weiqiang Wang: A Filtration Strategy Based on FD-CRF for Image Matching. ... Based Image Matching Method with Regularized SAR Model. PCM (1) ...