Constraint driven model using correlation and collaborative filtering for sustainable building

Semantic Retrieval for Videos in Non-static Background Using Motion Saliency and Global Features

“…A number of text-based search engines appear in the Internet for topic and event searching. Although the text data shares certain correlation information with content data, searching for a multimedia content is not as easy because multimedia data, as opposed to text data, needs more steps of pre-processing to yield indices relevant for querying [3] [4]. On the other hand, multimedia data (e.g., an image or a video sequence) can be interpreted in many ways and there is no commonly agreed-upon vocabulary [5][6] [7].…”

Integrating Deep Learning with Correlation-based Multimedia Semantic Concept Detection

“…Because multimedia data carries knowledgeable information, it has been widely adopted to different genera [210,210,211,214,217,233,241]. For example, multimedia data is leveraged to combine education with entertainment and pass the knowledge to the next generation in a very joyful way; medical science is always eager to identify the abnormal cases from prolific multimedia content [136]; disaster management organization can provide the service on time if they can effectively analyze the incoming multimedia information [22,63,126,167,182,209,214,216]; and the engineering research area also started the trend of mining multimedia content in building a sustainable building [72,88].…”