Samsung Electronics Co., Ltd. (Suwon-si, KR)
The disclosure relates to a mosaic generation device and an operation technique for it including, but not limited to the method and apparatus to create a mosaic by randomly selecting an image as a source and then strengthening the original image using a characteristic of the base image.
2. Description of related art
Mosaic is the method used to create patterns or painting by attaching several pieces together. To make an image it is necessary to divide an image or photo to create a mosaic in smaller areas and then changing each area with a new photo or image could be used.
An AI system could refer to a system that the machine makes choices or trains and then generates desired results or performs actions.
The embodiments of the disclosure offer the method and apparatus to create various mosaics using a source image that is randomly selected, as well as an image base with the neural network.
Additional information will be provided in part in this description.
According to an example embodiment of the disclosure, a mosaic generation apparatus includes: a display outputting an image, a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored inthe memory to: extract a first feature value from one of a plurality of sub-base areas included in a base image, extract a second feature value from one source image selected from among a plurality of source images, and generate a sub-mosaiccorresponding to the one sub-base area using the first feature value and the second feature value.
The processor can be programmed to create sub-mosaics that correspond to each of the multiple sub-bases, and then to make a mosaic that is similar to the base image created from the sub-mosaics.
The sub-base area could be randomly selected from among the various sub-base area.
The source image could be selected randomly from the many image sources.
For multiple sub-base areas, the one image source can be chosen repeatedly.
The processor may be further configured to execute the one or more of the following instructions to extract the initial value of a feature from a lower level , and the second feature value from an upper level employing an artificial intelligence (AI) model comprising the lower level and the higher level.
The sub-mosaic may be generated such that a sum of a difference between feature values of the sub-mosaic and sub-base area in the lower level and the difference between the feature values of the sub-mosaic and base area in the higher level is less than.
The first feature value could include one or more pieces of details about a particular style of painting the painting style and texture, as well as atmosphere, contrast, gloss, intensity the hue, saturation, and hue of the sub-base image.
The second value of the feature could be content information including one or more of a shape and shape of the source image.
The mosaic generation device could also have an interface for users as well as a communicator. This communicator comprises communications circuitry, and can be set up in a way that the user interface gets an input from the one source and one sub-base images and then generates the mosaics in multiple ways based on the base image.
An example of the disclosure outlines how to create mosaics. This involves taking a first value from a subbase area of a base image that contains a plurality sub-base areas. The second value is then extracted from a random source image, derived from a multitude of sources. Then, the sub-mosaics are generated in accordance with the sub-base region by using both the first and second feature values.
A computer-readable, non-transitory medium is disclosed according to an example embodiment. The non-transitory recording medium has recorded a program to execute on a computer device using an amosaic generator technique. This involves extracting one subbase region from a base area that has a variety of sub-bases as well as taking a second value from one source image randomly selected from a pluralityofsource images; and creating a submosaic corresponding with the sub-base that was selected using the first value and the second value.Click here to view the patent on USPTO website.
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- Does the invention consist of a method of making something or carrying out an action? Is it a product?
- What is the composition and function of the invention? What is the physical makeup of the invention?
- What’s the objective of this invention?
- What are the terms in the technical field and the keywords used to describe an invention’s nature? A technical dictionary can assist you to locate the right terms.
2. Use these terms to find relevant Cooperative Patent Classifications at the Classification Text Search Tool. To find the best classification for your invention, go through the resulting classification’s class Schemes (class schedules). If you don’t get any results using the Classification Text Search, you might consider substituting your words to describe your invention with synonyms.
3. Go through 3. Go over the CPC Classification Definition to determine the relevancy of the CPC classification you’ve located. If the selected classification title has a blue box with a “D” to its left, the link will lead you to the CPC classification description. CPC classification definitions can aid you in determining the classification’s scope , so you can select the one that is most appropriate. Furthermore, these definitions can include search tips and other suggestions that may be useful to further study.
4. Get patent documents using the CPC classification from the Patents Full-Text and Image Database. By focusing your search on abstracts and representative drawings you can narrow your search for the most relevant patent publications.
5. This collection of patent publications is the most appropriate to examine for similarity to your idea. Be sure to read the claims and specifications. It is possible to find additional patents through contacting the patent examiner as well as the applicant.
6. Retrieve published patent applications with the CPC classification you chose in Step 3 of the Applications Full-Text and Image Database. You can also use the same search strategy that you employed in Step 4 to narrow down your search results to only the most relevant patent applications by looking over the abstracts and drawings on every page. Next, carefully examine the patent applications that have been published with particular attention paid to the claims as well as additional drawings.
7. You can search for additional US patent publications by keyword searching in the AppFT and PatFT databases, and also classification searching of patents not from the United States in the following table. Also, you can utilize web search engines to find non-patent patent disclosures in literature about inventions. Here are some examples:
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- Japan Patent Office (JPO) – with access to machine translations of Japanese patents.
- World Intellectual Property Organization (WIPO) offers PATENTSCOPE with a full-text search of published international patent applications and machine translations for some documents, as well as a list of international patent databases.
- Korean Intellectual Property Rights Information Service (KIPRIS)
- State Intellectual Property Office (SIPO) with machine translation of Chinese patents.
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- Search non-patent literature. Inventions can be made public in many non-patent publications. It is recommended that you search journals, books, websites, technical catalogs, conference proceedings, and other print and electronic publications.
To review your search, you can hire a registered patent attorney to assist. A preliminary search will help one better prepare to talk about their invention and other related inventions with a professional patent attorney. In addition, the attorney will not spend too much time or money on patenting basics.