[Feature] Ability to search for images and videos.

[namwanza]

I should be able to search for videos or images, e.g. by the title of the image or video, by geo-coordinates, also with the context of the video and so on.

When I use nesis to analyse videos, I want the following types of information to be extracted or analysed, depending on my goals or application. Here are some common types of information I want nesis to output from the videos and images:

1. Video specification

• Object Detection and Tracking: Identify and track objects or people within the video frame over time. This could include detecting vehicles, pedestrians, animals, or specific objects of interest.

• Action Recognition: Recognize human actions or activities depicted in the video, such as walking, running, sitting, or gestures.

• Facial Recognition: Identify and recognize faces of individuals appearing in the video, potentially matching them against a database of known individuals.

• Emotion Recognition: Analyze facial expressions to infer the emotional state of individuals within the video, such as happiness, sadness, anger, or surprise.

• Speech Recognition and Transcription: Convert spoken words within the video into text, enabling transcription and analysis of dialogue or speech content.

• Scene Understanding: Understand the overall context or scene depicted in the video, such as indoor or outdoor settings, specific locations, or environmental conditions.

• Object Localization: Determine the spatial location of objects within the video frame, potentially enabling tasks like object counting or density estimation.

• Audio Analysis: Analyze audio content within the video, such as identifying background sounds, music, or speech patterns.

• Event Detection: Detect specific events or occurrences within the video, such as accidents, crowds, celebrations, or anomalies.

• Sentiment Analysis: Analyze the overall sentiment or mood conveyed by the video content, based on visual and audio cues.

• Content Summarization: Automatically generate summaries or highlights of the video content, highlighting key moments or segments.

• Video Enhancement: Enhance the quality of the video by adjusting parameters like brightness, contrast, or stabilization.

2. Image Specification

• Object Detection and Recognition: Identify and label objects present in the image, such as cars, people, animals, or household items.

• Image Classification: Categorize images into predefined classes or categories, such as identifying whether an image contains a cat or a dog.

• Semantic Segmentation: Segment the image into different regions and assign a label to each region based on its semantic meaning. For example, separating foreground objects from the background.

• Text Detection and Recognition: Identify and extract text from images, which can be useful for tasks like reading license plates, recognizing handwritten notes, or extracting information from documents.

• Facial Recognition: Identify and recognize faces in the image, potentially matching them against a database of known individuals.

• Scene Understanding: Understand the overall context or scene depicted in the image, such as whether it's indoor or outdoor, daytime or nighttime, and the general activities or events taking place.

• Image Quality Assessment: Assess the quality of the image, including factors like resolution, brightness, contrast, and sharpness.

• Image Enhancement: Automatically enhance the quality of the image by adjusting parameters like brightness, contrast, and color balance.

• Image Similarity and Search: Compare the image with a database of other images to find similar or visually related images.

• Metadata Extraction: Extract metadata embedded in the image file, such as location information, camera settings, and timestamps.

• Anomaly Detection: Identify unusual or abnormal patterns within the image that may indicate potential problems or anomalies.