CEDD: Color and Edge Directivity Descriptor: A Compact Descriptor for Image Indexing and Retrieval

By Savvas A Chatzichristofis, Yiannis S. Boutalis. International Conference on Virtual Storytelling, 2008

537 citations recorded by the source corpus.

How researchers see this paper

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Lire: lucene image retrieval: an extensible java CBIR library (2008, unknown): “Color and edge directivity descriptor, CEDD, see [2]”
Automatic Tuberculosis Screening Using Chest Radiographs (2013, background): “• CEDD and FCTH: CEDD (color and edge direction descriptor) [60] and FCTH (fuzzy color and texture histogram) [61] incorporate color and texture information in”
Collective Matrix Factorization Hashing for Multimodal Data (2014, methodology): “Images are described by 100-dimension SIFT [15] histograms which mainly encode surface texture, and 144dimension CEDD features [4] which focus on color and edge directivity.”
Reinforced Similarity Integration in Image-Rich Information Networks (2013, methodology): “Image similarity can be estimated from image content features [10], [20], [21], such as color histogram, edge histogram [22], Color Correlogram [23], CEDD [24], GIST, texture features [25], [26], Gabor features [27], [28], shape [29], [30], and SIFT [31].”
DeepCham: Collaborative Edge-Mediated Adaptive Deep Learning for Mobile Object Recognition (2016, methodology): “Subsequently, each user can use this adapted model for object recognition in the target environment.”