Unifying Sum and Weighted Aggregations for Efficient Yet Effective Image Representation Computation

Embedding and aggregating a set of local descriptors (e.g., SIFT) into a single vector is normally used to represent images in image search. Standard aggregation operations include sum and weighted aggregations. While showing high efficiency, sum aggregation lacks discriminative power. In contrast,...

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Veröffentlicht in:	IEEE transactions on image processing 2019-02, Vol.28 (2), p.841-852
Hauptverfasser:	Pang, Shanmin, Xue, Jianru, Zhu, Jihua, Zhua, Li, Tian, Qi
Format:	Artikel
Sprache:	eng
Schlagworte:	Agglomeration Aggregation Encoding Feature extraction Image management Image quality Image representation Image retrieval image search multiple weights Power efficiency Representations State of the art Task analysis Visualization
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