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Presently, we have diversified devices like TV, Set-top box, AC, DVD player etc. which creates confusion of choice of remote controllers (RC) to operate them. Naturally, these multiple RCs requires more number of batteries. With the evolution of electronic equipment's, the range of capabilities or performance has increased but at the same time, the buttons are also increasing on the RC. In addition to this, there is compulsion to have line of sight (LOS) communication in existing devices. To resolve these problems, an Universal Remote Controller (URC) is schemed. This paper focusses at designing Wi-Fi based multidirectional universal RC single unit, that uses Wi-Fi and and internet of things (IOT). This Universal RC is Omni-directional in nature and can handle operations of many devices simultaneously. The prototype used is Air Conditioner (AC). We are able to handle each and every operation of all ACs simultaneously. We are linking the use of URC to IOT. We are creating the mobile phone application (app) that can be a simple chrome like Explorer in which HTML code has been written and buttons are generated through it which handles the functions of all AC's without the compulsion of being in the vicinity of those AC's. Thus there is no need of LOS communication between AC's and RCs. Practically, good communication was observed as 25m through walls and 40m in open space. This range can be increased by implanting different secondary units in each floor. All the operations can be handled by any smart phone available in the market. General TermsMultidirectional, Omni-directional et. al.

Today, nearly above 400million of population uses internet. Internet is mostly used for search engines like google, where an individual search for information. Roughly 100million hours of videos are uploaded over internet daily (Viz. YouTube, Netflix, Dailymotion, Vimeo, Veoh, Metacafe, etc.) due to this tremendous amount of data is generated. Semantic/context based search is use which matches fast but only with correct tags. Each and every video is assigned with tags, the desired video is retrieved if and only if correct tags are used. Due to involvement of large number of frames in videos, it is difficult to extract desired video using context based matching. The proposed system is developed to extract desired video from huge data base. Algorithm consists of content based shot detection method and features are extracted for each data set of videos. Further, the frames dissimilarities are analyzed by different parameters like entropy, probability, color, etc. User can search desired video by using image as an input to the system. Proposed system successfully achieved 100% accuracy in content based search. This algorithm also reduces the search time than the existing one that is roughly 0.3ms/video, which is much faster and reliable. Expectation oof system is algorithm fits for content based video search and also gives alternative to context based search (e.g. Netflix, YouTube). General TermsVideo Retrieval, Shot detection, Different parameters for matching, SVM, Image as query, Content based video retrieval system

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