Video_Scene_Search_Image_Text(Show and Tell Model CNN-RNN)

Search around your own videos, navigate through scenes from image and text queries.

Video Scene Search Using Image and Text

• Train your own videos to search
• Search Videos and Video Scene Using Image
• Search Videos and Video Scene Using Text
• Search through multiple videos
• Easily work through REST API

Dependencies

• Python 2.7
• Tensorflow > 1.2
• nltk
• flask

Pretrained Model

• Download Link: https://www.dropbox.com/s/9xmjkm8phlx64ek/vs_model.zip?dl=0

Model Information

• Show and Tell Model
• Encoder-Decoder Neural Network
• Encoder - Inception v3 image recognition model pretrained on the ILSVRC-2012-CLS image classification dataset.
• Decoder - LSTM Network Trained on Captions represented with an embedding model
• Beam Search as Caption Generator

Instructions

• Download Pretrained Model and extract in the models folder
• Run REST API with 'video_rest.py'

Training your Videos

• Train your video directly from the REST API
• Example: http://localhost:5003/train/home/Downloads/RDG.webm/, Video Path is: home/Downloads/RDG.webm/, don't miss the '/'
• You can train multiple videos, data is stored in vd_data folder

Search from Videos

• You can search scenes around multiple videos from Image or Text
• Image: http://localhost:5003/isearch/home/imgs/1346353449_eminem.jpg/, Image Path: /home/imgs/1346353449_eminem.jpg/
• Text: http://localhost:5003/tsearch/group%20people%20wine%20glass