Camera Based Document Image Retrieval with More Time and Memory Efficient LLAH
| Language | English |
|---|---|
| Type | Proceedings of International Conferences |
| Authors | Tomohiro Nakai, Koichi Kise, Masakazu Iwamura |
| Title | Camera Based Document Image Retrieval with More Time and Memory Efficient LLAH |
| Journal | Proc. Second International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2007) |
| Pages | pp.21-28 |
| Location | Curitiba, Brazil |
| Reviewed | Reviewed |
| Date | September 2007 |
| Research fields | Document Image Analysis, Document Image Retrieval |
| Key | Nakai2007_CBDARa (id=994) |
Abstract
In this paper, we propose improvements of our camera-based document image retrieval method with Locally Likely Arrangement Hashing (LLAH). While LLAH has high accuracy, efficiency and robustness, it requires a large amount of memory. It is also required to speed up the retrieval of LLAH for applications to real-time document image retrieval. For these purposes, we introduce the following two improvements. The first one is reduction of the required amount of memory by removing less important features for indexing from the database and simplifying structure of the database. The second improvement is to reduce exploring alternatives during the retrieval process. From the experimental results, we have confirmed that the proposed improvements realize reduction of the required amount of memory by about 80% and that of processing time by about 60%.
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