The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature vectors into two-level ...
Apr 28, 2024 · The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature ...
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The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature vectors into two-level ...
Jul 18, 2020 · – We present a novel fast database index for database image retrieval. – Our work provides new insights, showing that the two-level hash-based ...
The method transforms image local feature vectors into two-level hashes and builds an index of the content of the images in the database. The algorithm can be ...
In contrast, browsing the image databases has not been as much studied. We propose a new efficient method for indexing a large amount of feature vectors in high ...
May 14, 2024 · We actually did a quick analysis on classification, data extraction, and reasoning and learned that GPT4o is definitely better & faster. For ...
Feb 7, 2024 · The purpose of a database index is to enhance the performance of queries by facilitating efficient data retrieval.
In this paper, we propose the fast feature extraction method which is applicable on mobile environment. The proposed algorithm is based on the lookup table ...