Discriminative Codebook Hashing for Supervised Video Retrieval

Figure 1

The framework of DCH. We divide the entire experiment into two steps, namely, offline learning and online retrieval. In the offline phase, we join keyframe features and predefined codebook to learn hash functions. In the online phrase, we map the query video into a set of binary codes through hash functions. Next, we use the exclusive or (XOR) operation to obtain the Hamming distance between the query video and samples in the database. Finally, we take videos with the shortest Hamming distance as the video retrieval results.