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Approaches
Our chosen approach: Represent images by binary code (Hashing)
› Pros: fast computation, memory-friendly
› Cons: Accuracy trade-off
SOTA Approach: Represent images by float embedding and retrieve similar
images by ranking similarity scores using a distance metric
› Pros: The retrieval is accurate
› Cons: Float embedding is computational expensive and memory-inefficient
Traditional Approach: Color histogram, texture, shape as features
› Pros: Idea is simple and somewhat easy to implement
› Cons: Not accurate