# How Computers Automatically Organize and Search Photos Using Contextual Data

> A system for indexing images by attaching descriptive data to objects within them and adjusting search rankings based on how often a user searches for those specific items.

- **Patent:** US 8862582
- **Original title:** System and method of organizing images
- **Owner:** AT&T Intellectual Property I LP
- **Granted:** 2014
- **Status:** Active
- **Times cited:** 2
- **Field:** software, ai_ml, consumer_electronics

## What it does

This patent describes a method for making photo libraries smarter by attaching 'scene description information'—such as audio, device orientation, or object detection data—to images. It creates a data structure where each object identified in a photo is assigned a weight, which determines how relevant that object is to a search. Crucially, the system tracks a user's search habits and updates these weights over time. For example, if you frequently search for 'dog,' the system increases the weight of 'dog' objects in your photos, making them appear higher in search results.

## What it does NOT cover

- Does not cover simple image tagging based solely on manual user input.
- Does not cover geographic-based image sorting, as the claims explicitly state the weights are independent of location.
- Does not cover basic image retrieval that lacks the specific 'infinite array' data structure for object weights.
- Does not cover image processing that does not incorporate user search history to modify object weights.

## The clever bit

The system uses an 'infinite array' to store weights for objects, allowing the database to dynamically adjust the importance of specific items (like a dog or a car) based on the user's personal search history rather than just generic metadata.

## Real-world examples

1. Google Photos search functionality
2. Apple Photos object recognition and search
3. Smart home security camera indexing

## Why it matters

This patent represents an early effort to move beyond simple file-name searching toward semantic, context-aware image retrieval. It highlights the shift from static databases to systems that learn from user behavior to improve relevance, a core component of modern digital photo management.

## Frequently asked questions

### What does How Computers Automatically Organize and Search Photos Using Contextual Data cover?

A system for indexing images by attaching descriptive data to objects within them and adjusting search rankings based on how often a user searches for those specific items.

### Who owns patent US 8862582?

AT&T Intellectual Property I LP owns this patent, granted in 2014.

### When does this patent expire?

This patent is expected to expire on October 14, 2034, when the invention enters the public domain.

### What is patent US 8862582 cited by?

This patent has been cited by 2 later patents that build on its ideas.

### What problem does this patent solve?

This patent represents an early effort to move beyond simple file-name searching toward semantic, context-aware image retrieval. It highlights the shift from static databases to systems that learn from user behavior to improve relevance, a core component of modern digital photo management.

### What does this patent NOT cover?

Does not cover simple image tagging based solely on manual user input.

**Full plain-English explainer:** https://patentbrief.org/patent/us/8862582/amazon-redshift

**Original patent:** https://patents.google.com/patent/US8862582

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_Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._