Browse Prior Art Database

A recommendation system for poses in photo taking

IP.com Disclosure Number: IPCOM000246525D
Publication Date: 2016-Jun-15
Document File: 3 page(s) / 120K

Publishing Venue

The IP.com Prior Art Database

Abstract

This invention is able to recommend people poses that fits the specific scene when they are taking photos. After a press of button on the camera, poses that fit the scene will be available on the screen. The invention utilizes a database that includes a large number of people’s photos and the recommendations are given based on matching between the photo being taking and the photo in the database, the ranking of photos in the database, and the users' own personality.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 70% of the total text.

Page 01 of 3

A recommendation system for poses in photo taking

While people are taking photos, what often bothers them is that they don't know how to pose in front of the scene. To be specific, their problems include:

They know few poses, so they pose almost the same for a number of photos they take, which makes the photos look boring. They don't know what poses fit the specific scene, so even though the scene is nice, the photos they take in front of it is not. They don't know where to pose so that the photo can be composed better.

This invention aims to recommend people poses for the specific scene when they are taking photos with their devices like a mobile phone or a smart camera. After a press of button on the camera, poses that fit the scene will be available on the screen.

The invention utilizes a database that includes a large number of people's photos. The database is responsible for the following tasks:

Collect photos with humans and scenes from websites like travel experience sharing ones as most photos there are with both humans and scenes Recognizing and turning the figures in the photos into sketches
Ranking the photos based on:
Popularity on the web
The principle of composition

The recommendation mechanism is based on the following dimensions:

Similarity of photos

Ranking in the database
Users' own personality

When people aim the camera at the scene, the recommendation system will look for the most similar photo with a higher ranking in the database, and show its...