Visual summarization problems are complex intrinsically. Because definition of a summary have some ambiguity and only one correct summary does not exist. A good summary consists of two main properties in general which are (i) coverage and (ii) diversity. A good summary should have high coverage. On the other words summary should consist of key events and concepts for given set. At the same time a good summary should also be diverse, i. e it should not consist of similar events and concepts. In addition to these two main properties, intrinsic properties such as quality, emotions, popularity of images increase in importance depending on prevalence of social media applications. We proposed an automatic summarization method which considers intrinsic properties of images in addition to coverage and diversity for personal image collection summarization. This developed method is compared with summaries of different personal image collections which are collected by crowdsourcing and it is observed that the taking intrinsic properties into account improves the summaries.