Explore image description techniques through semantic modeling using attributes and tags in this comprehensive lecture by Mahdi M. Kalayeh from the University of Central Florida. Delve into topics such as weighted multi-view non-negative matrix factorization, semantic segmentation-based gating and pooling, and the analysis of selfie popularity. Examine advanced concepts including Fisher vectors of Gaussian distributions and mixture models, as well as deep learning architectures like Inception-V3, DenseNet, and Deep Convolutional GANs. Gain insights into computational complexity analysis and future research directions in the field of image understanding and description.