Learning-Based Local Visual Representation and Indexing

Conclusions

This book introduced the learning mechanism into the visual local representation and visual dictionary models, aiming to build a more effective computerized visual representation that is more similar to the human visual system. The book began from a learning-based semi-local interest-point detector, with subsequent optimal visual dictionary learning from both unsupervised and supervised perspectives, and ended up exploiting higher-order visual word combinations. During these procedures, the machine-learning mechanism was pervasively embedded into different chapters.

The first contribution of this book was a context-aware semi-local detector (CASL), which emphasized the use of the local interest-point context to build a more semantically ...