Information made public recently reveals that Google has a method where computers can scan images and video to understand the text they contain. If this becomes a reality, it will mean that Google would have the capability to make all images and video searchable - a huge step in making more information easily available.
"Candidate text regions within images can be enhanced to improve text recognition accuracy," the patent application reads.
"Extracted image text can also be used to improve image searching. The extracted text can be stored as associated with the particular image for use in generating search results in an image search. Additionally, the extracted image text can be combined with location data and indexed to improve and enhance location-based searching. The extracted text can provide keywords for identifying particular locations and presenting images of the identified locations to a user."
Multimedia Text Recognition
Google To Read Text in Images & Video?
Trend Themes
1. Multimedia Text Recognition - The development of computer-aided text recognition of images and videos creates opportunities for improved accessibility of multimedia information.
2. Enhanced Image Searching - Extracting and storing text alongside images can expand the capability of image searching for more accurate and efficient results.
3. Location-based Searching - The combination of extracted text and location data in indexing multimedia content can enable more precise location-based searching.
Industry Implications
1. Technology - The integration of multimedia text recognition can improve the efficiency and accessibility of digital information, providing new opportunities for technology companies.
2. Marketing and Advertising - Through multimedia text recognition, marketers and advertisers can access a new medium in optimizing their search engine advertisements based on the images or videos they use.
3. Media and Entertainment - By employing multimedia text recognition, media and entertainment companies can enhance their searchability of multimedia content, making it more accessible and discoverable for users.